Metode3Menambahkan Tanda Tangan Melalui Komputer Mac. 1. Buka dokumen di Microsoft Word. Klik dua kali dokumen Word yang ingin ditambahi tanda tangan digital. Jika ingin membuat dokumen baru, buka Microsoft Word, klik menu â File â, kemudian pilih â New Document â dari menu drop-down. 2. Klik File.
Secara umum, watermark dibutuhkan untuk menyatakanâ bahwa sebuah karya itu milik si pembuat. Sehingga, tidak akan ada orang atau pihak lain yang mengklaim karya tersebut miliknya. Ya, watermark dapat dikatakan sebagai solusiâ agar karya kamu tidak dicuri oleh orang lain. Bayangkan, sudah susah-susah membuat misalnya foto/gambar atau video bagus, tapi ujung-ujungnya diklaim orang lain. Sakit hati banget, kan! Nah, ternyata sudah banyak orang telah mengetahui apa itu watermark. Kendati begitu, informasi secara detail terkait watermark, seperti fungsi, jenis hingga keuntungan menggunakannya masih belum dipahami banyak orang. Oleh karenanya, melalui artikel ini, kami akan menerangkan sejelas-jelasnya apa itu watermark dan hal-hal yang berkaitan dengannya. Pengertian WatermarkFungsi WatermarkJenis WatermarkContoh Penerapan WatermarkKeuntungan Memakai Watermark Watermark adalah logo, tulisan atau ikon yang disematkan dalam sebuah karya berupa gambar, foto maupun video. Ya, tidak saja foto dan gambar, melainkan video milik YouTuber terkenal kini biasanya dilengkapi dengan watermark. Penempatan watermark pada umumnya diletakkan di sebelah pojok sebuah karya. Namun, ada juga yang ditaruh di tengah, bahkan dibuat dengan ukuran besar. Contohnya, foto yang dijual di situs-situs tertentu Misalnya Shutterstock, Shopify dan lainnya. Dengan penempatan watermark yang besar, kamu tidak akan bisa mengunduh foto itu secara bebas, kecuali sebelumnya telah melakukan pembelian. Lebih lanjut, watermark biasanya didesain secara transparan. Hal ini bertujuan agar siapa saja dapat melihat karya yang ada dengan baik, tanpa adanya gangguan visual dari watermark itu sendiri. Oleh karenanya, jika kamu pengin membikin watermark untuk karya sendiri, usahakan transparan ya! Apa Fungsi Watermark? Secara garis besar, watermark memiliki tiga fungsi utama, yakni sebagai media promosi, label hak cipta dan identitas karya. Berikut kami jelaskan selengkapnya 1. Media Promosi Bagi pelaku bisnis maupun perusahaan, watermark dapat difungsikan sebagai media promosi. Ya, saat ini tidak sedikit pebisnis maupun pihak perusahaan yang memasukkan watermark berupa logo perusahaan pada suatu karyanya. Watermark semacam ini dapat membikin publik mengenali langsung agensi tersebut. Tidak saja itu, perusahaan juga terkadang menyematkan watermark berupa tulisan yang menunjukkan informasi terkait alamat dan momor kontak pada suatu karyanya. Watermark tulisan seperti itu berguna agar publik dapat mengontak perusahaan dengan mudah sekaligus mengetahui keberadaannya. 2. Label Hak Cipta Karya Seperti yang dijelaskan di atas, watermark diperlukan untuk menyatakanâ bahwa suatu karya adalah milik kamu misalnya. Hal ini-lah yang disebut melabeli hak cipta karya. Dengan begitu, karya kamu akan terhindar dari pembajakan atau pengklaiman oleh orang atau pihak lain. Tentunya, siapa saja tidak ingin mengalami tindakan yang dapat merugikan itu. 3. Sebagai Identitas Watermark juga dapat difungsikan sebagai identitas dari suatu hasil karya. Sehingga, orang lain yang melihatnya akan mudah mengenali siapa pemilik karya itu. Contohnya, banyak media berita di Indonesia yang menyematkan watermark pada bagian pojok foto. Seperti yang menyematkan watermark tulisan Thelastsurvivorsâ pada bagian pojok kanan bawah foto. Hal serupa juga dilakukan oleh yang memasukkan watermark berupa logo di bagian pojok kanan bawah foto. Baca Juga Aplikasi untuk Membuat Watermark Jenis-Jenis Watermark Watermark pada umumnya terdiri atas tiga jenis, yakni logo, tulisan dan ikon. Berikut kami jelaskan selengkapnya 1. Logo Banyak perusahaan menggunakan logonya sebagai watermark yang disematkan pada karya-karya yang dibuatnya. Ini menjadi identitas bagi perusahaan itu sendiri agar lebih mudah dikenali kalau karya itu adalah besutannya, bukan milik orang/pihak lain. 2. Tulisan Watermark berupa tulisan juga tidak jarang kami temukan di berbagai karya. Biasanya, watermark berupa tulisan berisikan nama akun media sosial, nama toko dan lainnya. Oh ya, media online seperti yang disebutkan di atas, juga mengandalkan watermark tulisan lho. 3. Ikon Jenis watermark berikutnya adalah berupa ikon. Biasanya, watermark ini dimasukkan ke dalam video YouTube besutan Youtubers ternama. Perlu kamu ketahui juga, apa pun jenis watermark yang digunakan, pastikan watermark tersebut memiliki ukuran dan tampilan yang pas. Dengan kata lain, keberadaan watermark tidak justru membuat orang yang melihat karya terganggu. Baca Juga Perbedaan JPG dan JPEG Contoh Penerapan Watermark Penerapan watermark dapat kamu jumpai lebih sering di beberapa karya, seperti gambar website, video TikTok dan Microsoft Word. Berikut penjelasan selengkapnya 1. Watermark pada Gambar Website Kamu tentunya pernah melihat gambar atau foto di website yang terdapat tulisan/logo/ikon di bagian pojok, kan? Nah, itu-lah contoh penerapan watermark pada gambar atau foto di dalam website. Memang, banyak website saat ini yang menyematkan watermark pada gambar agar tidak dicuri oleh pihak tidak bertanggung jawab. Selain itu, keberadaan watermark itu juga menjadi tanda copyright atau hak cipta dari pemilik website atau pihak yang memberikan watermak. 2. Watermark pada Video TikTok Kamu pastinya sudah tidak asing lagi dengan aplikasi bernama TikTok, kan? Ya, TikTok adalah aplikasi yang dapat digunakan untuk membuat dan berbagi video singkat. Selain itu, kamu juga bisa menonton video singkat buatan orang lain dari aplikasi tersebut. Nah, salah satu yang khas dari TikTok adalah terdapat watermark di dalam videonya ketika didownload. Mungkin hal itu mengganggu, namun ada juga pengguna TikTok yang merasa biasa-biasa saja dengan kehadiran watermark itu. 3. Watermark pada Microsoft Word Watermark memang lebih sering dijumpai di foto, gambar dan video. Namun ketahuilah, watermark juga bisa diterapkan di dokumen Microsoft Word. Microsoft Word sendiri pun memfasilitasi pembuatan watermark bagi pengguna yang membutuhkannya. Berikut langkah-langkahnya Buka dokumen yang ingin disematkan watermark > klik Design > pilih Watermark > pilih Custom Watermark > pilih watermark yang diinginkan tersedia dalam bentuk gambar dan tulisan > upload/buat watermark > klik OK jika sudah selesai. Baca Juga Download Kumpulan Font Picsay Pro Keuntungan Memakai Watermark pada Sebuah Karya Setelah memahami apa itu watermark beserta fungsi, jenis dan contoh penerapannya, sekarang kamu juga perlu mengetahui keuntungannya. Sedikitnya ada lima keuntungan memakai watermark pada sebuah karya, antara lain sebagai berikut Karya kamu lebih mudah dikenali orang kamu tidak bisa dibajak, diklaim dan dipublikasi orang bisnis agar makin dikenal banyak calon pelanggan/ karya sendiri ke berbagai platform media sosial dan platform bagi kamu, pemakaian watermark memunculkanrasa bangga pada diri sendiri. Itulah pembahasan tentang apa itu watermark. Kesimpulannya, penyematan watermark pada sebuah karya lebih direkomendasikan namun jangan sampai mengganggu tampilan dari karya tersebut.
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Image watermarking has become an important tool for intellectual property protection and authentication. In this paper a watermarking technique is suggested that incorporates two watermarks in a host image for improved protection and robustness. A watermark, in form of a PN sequence will be called the secondary watermark, is embedded in the wavelet domain of a primary watermark before being embedded in the host image. The technique has been tested using Lena image as a host and the camera man as the primary watermark. The embedded PN sequence was detectable through correlation among other five sequences where a PSNR of dB was measured. Furthermore, to test the robustness of the technique, the watermarked image was exposed to four types of attacks, namely compression, low pass filtering, salt and pepper noise and luminance change. In all cases the secondary watermark was easy to detect even when the primary one is severely distorted. To read the full-text of this research, you can request a copy directly from the authors.... However, malicious users can modify the original data easily by adding noises or shifting GPS points to avoid hashing-based data verification schemes, such as MD5. Moreover, the conventional ID embedding based verification schemes, which are widely used in protecting copyrights of images [13], audio [16], and videos [5], cannot be applied directly in trajectories for the following reasons. ...... The implementation of data distribution procedure is shown in Algorithm 1. It mainly consists of three stages transaction generation line 1-3, identity information embedding line [4][5][6][7][8][9][10][11], and data transmission line [12][13]. The bottleneck of the efficiency is the identity information embedding process. ...Trajectory data has been widely used in many urban applications. Sharing trajectory data with effective supervision is a vital task, as it contains private information of moving objects. However, malicious data users can modify trajectories in various ways to avoid data distribution tracking by the hashing-based data signatures, MD5. Moreover, the existing trajectory data protection scheme can only protect trajectories from either spatial or temporal modifications. Finally, so far there is no authoritative third party for trajectory data sharing process, as trajectory data is too sensitive. To this end, we propose a novel trajectory copyright protection scheme, which can protect trajectory data from comprehensive types of data modifications/attacks. Three main techniques are employed to effectively guarantee the robustness and comprehensiveness of the proposed data sharing scheme 1 the identity information is embedded distributively across a set of sub-trajectories partitioned based on the spatio-temporal regions; 2 the centroid distance of the sub-trajectories is served as a stable trajectory attribute to embed the information; and 3 the blockchain technique is used as a trusted third party to log all data transaction history for data distribution tracking in a decentralized manner. Extensive experiments were conducted based on two real-world trajectory datasets to demonstrate the effectiveness of our proposed scheme.... The watermark is then embedded in the transformed coefficients of the image such that the watermark is invisible and more robust for some image processing operations. Finally, the coefficients are inverse-transformed to obtain the watermarked image [4], [7]. ...... When one-level 2-D DWT is applied to an image, four transform coefficient sets are created. The four sets are LL, HL, LH, and HH, where the first letter corresponds to applying either a low pass or highpass filtering to the rows, and the second letter refers to the filter applied to the columns [4], [7]. The process of multiple frequency decomposition of one level is illustrated in wavelet analysis of an original image can divide image into an approximate image LL and three detail images LH, HL and HH., the approximate image hold most of the information of the original Image, while the others contain some details such as the edge and textures will be represented by large coefficients in the high frequency sub-bands [15]. ...... Eq. 11 shows an example of a 4Ă4 Hadamard matrix, which H 2 is obtained using 9 and 10. 2 1 1 ...... This result has the same with the values in 17. And the inverse WHT of X is obtained as follows 2,4,6]. The computation of FWHT algorithm can be illustrated in Fig. 1 [17]. ...... For instance, in 0, the authors proposed a dual watermarking technique in the DWT domain for intellectual property protection and authentication. In [3], a DCT-DWT approach is presented combining image authentication primary watermark and compression of color components secondary watermark. In [4], a JPEG2000-based approach is presented to protect content integrity by embedding a fragile and a robust watermark into different resolution layers and different embedding regions of a host image. ...... The aim is to allow admissible manipulations such as JPEG compression, but to reject malicious manipulations that change the visual content. Commonly used techniques extract features representing the image content and re-embed these features as watermark information into the host image data [3], [4], [7] [8] [9] [10] [11] [12]. Some approaches involve image positions of edges, contours or zerocrossings in the spatial domain whose existence is proved during the verification process. ...Mathias SchlauwegDima PröfrockBenedikt ZeibichErika MĂŒllerA digital watermarking approach highly robust to lossy image compression is presented. It is shown how geometrically warping objects can be used to imperceptibly embed information into images for the purpose of property rights protection. Common lossy image compression is optimized for maintaining the geo-metric image structure. Hence, as we demonstrate, the embedded information is not affected by a successive embedding approach in the compression domain. This second watermarking scheme is used for an efficient JPEG2000-based image authentication, which is robust to JPEG compression and other allowed signal processing operations. We enhance positive wavelet-based water-marking approaches proposed in recent years by image adaptive perceptual modeling and error correction coding without raising a security gap. Our new method is secure in contrast to most of the schemes proposed so far. Lots of popular features of the JPEG2000 compression framework such as quality and resolution scalability, lossless image rotation and flipping are supported. All coefficients of the wavelet decomposition are protected using our new extended scalar quantization and hashing scheme.... The watermark is then embedded in the transformed coefficients of the image such that the watermark is invisible and more robust for some image processing operations. Finally, the coefficients are inversetransformed to obtain the watermarked image [4], [7]. ...... When one-level 2-D DWT is applied to an Image, four transform coefficient sets are created. The four sets are LL, HL, LH, and HH, where the first letter corresponds to applying either a low pass frequency operation or highpass frequency operation to the rows, and the second letter refers to the filter applied to the columns [4], [7]. Which is shown in wavelet analysis of an original image can be divided into an approximate image LL and three detail images LH, HL and HH. , the approximate image hold most of the information of the original image, while the others contain some details such as the edge and textures will be represented by large coefficients in the high frequency sub-bands [15]. ...P Ramana Reddy Munaga V N K PrasadD. Sreenivasa RaoThe central idea of this paper is to develop an algorithm that embeds the watermark information without much distortion to the Image , while making it possible to extract the watermark by use of correlation. We begin by modifying the frequency coefficients of the Image, based on human visual systems perception of Image content, which is used to embed a watermark such that its amplitude is kept below the distortion sensitivity of the pixel and thus preserving the Image quality . The operation of embedding and extraction of the watermark is done in frequency domain , and it is checked for different noise attacks like salt and pepper and Gaussian. We spread spectrum technique for watermarking, such as pseudo random sequences enabling an easier generation, encryption and much better detection of the watermark .This water marking scheme deals with the extraction of the watermark information in the absence of original Image blind watermarking, also we make use correlation based watermark detection.... Evidently, this scenario is considered as an extension to the traditional single-watermark embedding schemes and exhibits minimal modifications with moderate security performance [6,13,28,34]. In the second, the fragile and robust watermarks are embedded sequentially in a dynamic manner [33,36,46,49]. However, the second embedding stage must not introduce a serious change to the former embedding. ... Hazem Munawer Al-OtumImage watermarking has been developed, recently, to meet the various concerns in multimedia copyright protection and forgery detection due to the explosive growth in multimedia sharing applications. In this work, a novel dual color image watermarking is developed for copyright protection, authentication and recovery applications. The proposed scheme is semifragile with three main pillars a the utilization of the WPT features for mark embedding by creating the so-called nested WPT trees, b the insertion of the optimizing stage, before embedding, to aid proper selection of the scheme parameters for both robust and fragile mark bits, and, c the development of the multi-level thresholding and selective quantization procedure that aims at modifying the nominated WPT locations only when required. Here, the input color image is split into its three color RGB triplets that are applied sequentially to WPT, then, nested trees that link the color triplets are created. Two watermarks are embedded into the obtained nested trees in a dual-watermarking approach. Here, the image digests are prepared, in the YCbCr domain, and used for recovery purposes. An optimizing procedure is developed to determine the proper locations, within each tree, for embedding of the digests for recovery purposes. At the extraction stage, the extracted robust mark bits are linked to the extracted authentication mark bits to construct the final extracted robust watermark, while the authentication mark bits are stepped forward to be used for authentication and recovery applications by mining the hidden image digest bits. Experimental results have shown that the proposed scheme has a high imperceptibility performance and could survive severe unintentional attacks. In case of intentional attacks, the scheme has shown a high forgery detection accuracy and recovery performance.... Image processing is defined as certain mathematical operations with the use of signal processing, where the input might be image, picture, image collection, video or photo frame, while image processing's output might be image or set of image-associated parameters or features [1][2][3]. A lot of image processing approaches involves view the images as two-dimesional 2D signal as well as utilizing standard approaches for signal processing. ...Information security is considered as one of the important issues in the information age used to preserve the secret information throughout transmissions in practical applications. With regard to image encryption, a lot of schemes related to information security were applied. Such approaches might be categorized into 2 domains; domain frequency and domain spatial. The presented work develops an encryption technique on the basis of conventional watermarking system with the use of singular value decomposition SVD, discrete cosine transform DCT, and discrete wavelet transform DWT together, the suggested DWT-DCT-SVD method has high robustness in comparison to the other conventional approaches and enhanced approach for having high robustness against Gaussian noise attacks with using denoising approach according to DWT. Mean square error MSE in addition to the peak signal-to-noise ratio PSNR specified the performance measures which are the base of this study's results, as they are showing that the algorithm utilized in this study has high robustness against Gaussian noise attacks.... The invisible watermark is used for protection/back up of the visible watermark. In [18], a dual watermarking technique based on DWT was done, a secondary watermark of PN sequence was embedded in the DWT domain of a primary watermark. ... Anu BajajDigital watermarking has become a promising research area to address the challenges faced by the rapid distribution of digital content over the internet. Secret message, logo or label is embedded into multimedia data such as text, image, audio, and video some imperceptibly for various applications like copyright protection, authentication, and tamper detection etc., known as watermarks. Based on the requirement of the application the watermark is extracted or detected by detection device. Digital watermarking gives a seamless interface to the users so that they may be capable of transparently utilizing protected multimedia as compared to traditional methods of security. In this paper, an outline of digital image watermarking and extensive/exhaustive survey of the various techniques used in the area of image watermarking is presented. Keywordsâ Digital Watermarking, Spatial domain, DCT, DWT, Arnold Transform, Contuorlet Transform, SVD. I. INTRODUCTION The internet has revolutionized many aspects of our lives. The use of information and communication technology ICT in day to day processes is continuously rising around the world. Therefore, it seems intuitive that applying internet use to provide real time coverage of stories, publishing newspapers, magazines, music, still images and enhanced video sequences would yield commercial benefits by providing a fast and inexpensive way to distribute their work. It becomes very easy to search and develop any digital content on the internet. But there is a serious problem faced about unauthorized and illegal access and manipulation of multimedia files over internet. Everybody can obtain copies of copyrighted multimedia openly at low cost and with no loss of information, for the commercial profit. That is so called intelligent property piracy. Digital watermarking has come to the attentions of many researchers to protect the Intellectual property rights of publishers, artists, distributers and photographers. Digital watermarking can be defined as to insert a secret message or logo into the original media source by using signal processing method. It provides a high level of security; as the location of embedded information is secret, and the watermark algorithm is also not public. Digital watermarking consists of watermarking structure, an embedding algorithm and extraction or detection algorithm. Generally, the effective and efficient watermarking scheme should satisfy certain properties to be reliable, such as imperceptibility, invisibility, unambiguity, low complexity, and either fragility or robustness, based on the watermarking application [2]. Also, digital watermarks should be difficult to remove or change without damaging the host signal. Watermarking is used for various applications viz. copyright protection, broadcast monitoring, authentication, fingerprinting. Watermarking techniques can be classified in various ways. Whether there is the need of the original image for watermark extraction or detection, watermarking is classified to blind, semi-blind and non-blind watermarking techniques. It can be classified on the basis of visibility of watermark, whether visible or invisible. On the basis of how the watermark be embedded in the image; either by changing the pixels spatial or by transformation domain. This paper is organized into six sections. The subsequent section briefly explains the watermarking system. Section III discuss about watermarking requirements and its applications. Section IV talk about the theoretical foundations of watermarking algorithms. Section V gives the comprehensive study of existing algorithms. And we conclude this paper in Section VI.... Watermarking is mainly used for copy protection and copyright-protection [4], [5]. For any watermarking technique to be valid, it must satisfy three important requirements perceptual invisibility, robustness against various image processing attacks, as well as security [6]. ... Ghassan MahmoodDigital watermarking is a technology to ensure and facilitate data authentication, security and copyright protection of digital media. In this paper, we employ a dual image watermarking and cryptography to achieve the requirements of robustness and security. In this method, the first watermark is encrypted by using a secret key and embedded it into the second watermark and then the result is embedded into the cover image. As well as we take some data from the cover image and add it to the second watermark to confirm the validity of the cover file and reliability of watermark. Also, we hide the secret key into the second watermark for more safety. Finally, experimental results reveal the effectiveness of the proposed method.... This transform is advantageous than the others transforms. Applying DWT on the digital image divides it into four non overlapping sub bands called LL, LH, HL and HH [13]. Coarse scale of DWT coefficients is represented by LL while fine scale coefficients are represented by LH, HL and HH sub bands. ...Sangeeta Yadav Priyanka AnandIn todayâs world, a large number of data is available on the Internet. It is almost impossible to deal with numerous challenges like copyright protection, content identification, verification and authentication of digital data. Watermarking is a technique that is used all over the world to solve the issue of copyright protection. Digital watermarking is used due to its wide range of applications from copyright protection, protection of digital data, digital fingerprinting to author authentication to many more. This paper mainly deals with a different video watermarking technique based on frequency domain and their comparison is evaluated on the basis of Peak-Signal-To-Noise PSNR Ratio. This comparison is done in the MATLAB/Simulink which is an interactive tool for simulation purposes.... This technique proved to be more robust than the DCT method when embedded zero-tree wavelet compression and halftoning were performed on the watermarked images. Maha Sharkas et al. [11] Senior Members IEEE, proposed a dual digital image watermarking technique for improved protection and robustness. They applied frequency domain technique DWT into the primary watermark image and then embedded secondary watermark in the form of a PN sequence. ...... The watermark embedding procedure is depicted in followed by a detailed explanation [11][12][13][14] ...Encryption and watermarking are complementary lines of defense in protecting multimedia content. Recent watermarking techniques have therefore been developed independent from encryption techniques. In this paper, we present a hybrid image protection scheme to establish a relation between the data encryption key and the watermark. Prepositioned secret sharing allows the reconstruction of different encryption keys by communicating different activating shares for the same prepositioned information. Each activating share is used by the receivers to generate a fresh content decryption key. In the proposed scheme, the activating share is used to carry copyright or usage rights data. The bit stream that represents this data is also embedded in the content as a visual watermark. When the encryption key needs to change, the data source generates a new activating share, and encrypts the corresponding data with the key constructed from the new activating share. Before transmission, the encrypted data is embedded in a multimedia stream. Each receiver can extract the encrypted data from the host image, and decrypt this data after reconstructing the same key. Our presentation will include the application of the scheme to a test image, and a discussion on the data hiding capacity, watermark transparency, and robustness to common attacks. Keywords discrete cosine transform, discrete wavelet transform, and international data encryption algorithm IDEA, Bit correct ratio.... In [4], the dual watermark is a combination of a visible and an invisible one, curried out in a spatial domain. The scheme proposed in [5], the secondary watermark image is embedded in the wavelet domain of a primary watermark before being embedded in the host image. ... Huda NajiImage watermarking has become an important tool for intellectual property protection and authentication. In this paper a watermarking technique is suggested that two visible watermarks in a host image for improved protection and robustness. If one of watermarks is tampered , the other watermark be used as a back up . We propose three watermarking schemes called visible dual watermarking using wavelet transform two schemes are working in wavelet domain and the other is a mixture of spatial and wavelet domains .The Proposed watermarking method is robust against attacks like DCT , DWT and JPEG compression schemes ,and some geometric manipulation like image resizing .... For any watermarking technique to be valid, it must satisfy three important requirements namely perceptual invisibility, robustness against various image processing attacks, as well as security [4]. ...In this paper, a video watermark technique is proposed. The proposed technique depends on inserting invisible watermark in Low Frequency DCT domain using pseudo random number PN sequence generator for the video frames instead of high or mid band frequency components. This technique has been realized using Matlab and VHDL. The system has been implemented on Xilinx chip XC5VLX330T. The result of implementation shows that maximum frequency MHZ. The experimental and implementation results has been demonstrated and discussed.... In [2], authors highlighted that the invisible digital image watermarking can carry the significant information. Authors [3] discussed the algorithm to increase the robustness and protection. In paper [4], A. Essaouabi, E. Ibnelhaj, F. Regragui explained watermarking scheme that can embed a watermark to an arbitrarily shaped object in an image. ...paper gives the idea of the method digital image watermarking algorithm which is new popular topic for research. The Discrete wavelet is the tool used for digital image watermarking. Wavelet transform has been applied widely in watermarking research as its excellent multi- resolution analysis property. The watermark logo is embedded based on the frequency coefficients of the discrete wavelet transform. The detailed wavelet coefficients of high frequency band of the host image are altered by the watermark logo. The algorithm has been tested for different types of host images under the presence of attacks like Jpeg compression, bit planer reduction, cropping, warping etc. The watermark logo is added in the host image in frequency domain which gets spread over the whole part of the host image in time domain. The existing system is robust to provide the security.... The watermark extraction scheme is the inverse of embedding procedure. S. Maha et al.[5] proposes a wavelet based watermarking algorithm. Two watermarks are embedded. ...Embedding of the digital watermark in an electronic document proves to be a viable solution for the protection of copyright and for authentication. In this paper we proposed a watermarking scheme based on wavelet transform, genetic programming GP and Watson distortion control model for JPEG2000. To select the coefficients for watermark embedding image is first divided into 32Ă32 blocks. Discrete Wavelet Transform DWT of each block is obtained. Coefficients in LH, HL and HH subbands of each 32Ă32 block are selected based on the Just Noticeable Difference JND. Watermark is embedded by carefully chosen watermarking level. Choice of watermarking level is very important. The two important properties robustness and imperceptibility depends on good choice of watermarking level. GP is used to obtain mathematical function representing optimum watermarking level. The proposed scheme is tested and gives a good compromise between the robustness and study proposes a novel method for multipurpose image watermarking for both ownership verification and tampered region localization. Two watermarks robust and fragile are inserted into the host image. Robust watermark insertion is done by PSO particle swarm optimization optimized scaling of the singular values; utilizing the singular value decomposition SVD. Doing so, leads to reduction in visibility changes better imperceptibility of host image as well as enhanced performance of watermarked image towards attacks better robustness. Fragile watermark insertion is done by making use of SVD and chaotic sequence block featureâs dependent. The image is first divided into non overlapped blocks and block based Arnold transformed is performed. Then after, block grouping is done of scrambled blocks to breakdown their independence in order to sustain the vector quantization and collage attacks. The proposed scheme is tested against various signal processing attacks and results shows a good existing watermarking schemes usually have only a single function, a region-adaptive semi-fragile dual watermarking scheme is proposed, taking into account both watermark embedding capacity and security. The dual watermarks refer to the robust watermark and the fragile watermark. The original image is divided into three regions, a no watermark region, a fragile watermark region, and a robust watermark region, and, then, the interrelated robust and fragile watermarks are embedded into different regions. The robust and fragile watermarks do not relate to embedding order, and the extracted fragile watermark further strengthens the extracted robust watermark, which makes it more adaptable to the Human Visual System HVS. Different techniques have been developed to embed different types of watermarks. To increase the embedding capacity and achieve blind extraction, a status code technology was used to embed the robust watermark. To resist the erase attack and achieve blind extraction, a new special bit substitution technology is proposed to embed the fragile watermark. The experimental results show that the proposed dual watermark scheme has higher PSNR, better security, and larger capacity and also achieves the dual functions of copyright protection and integrity YangIn order to enhance the robustness of roust watermark technology, a zero-watermark technology is proposed based on discrete wavelet transformation DWT and singular value decompositionSVD. It conducts DWT with the original image, divides its low frequency band into blocks, and conducts SVD with every block. Zero-watermark is derived by judging the parity of the first digit of the biggest singular value in every block. Experiments show that it possesses strong robustness against various YangThe single watermark algorithms always merely have single function. In order to overcome the drawback, a multi-purpose dual watermark algorithm is proposed in the paper, taking advantage of the stability of singular values. It divides the original image into several blocks, and inserts robust watermark into their singular values. Then it inserts the fragile watermark into LSB in the space domain of previous watermarked image. Moreover, it designs a rule to distinguish malicious tamper from unintentional tamper. It tests not only robust watermark's robustness towards attacks, but also fragile watermark's influence towards robustness as well as the ability to tamper detection and localization. The experimental results show that the robust watermark possesses strong robustness to resist attacks, and that the fragile watermark is very sensitive to tamper and has good accuracy of tamper localization. Therefore it can achieveD. KannanM. GobiThe improvements in internet technologies and growing demands on online multimedia businesses have made digital copyrighting as a major challenge for businesses that are associated with online content distribution via diverse business models including pay-per-view, subscription, trading, etc. Copyright protection and evidence for rightful ownership are the major issues associated with the distribution of any digital images. Digital watermarking is a probable solution for digital content owners that offer security to the digital content. In recent years, digital watermarking plays a vital role in providing the apposite solution and numerous researches have been carried out. In this paper, an extensive review of the prevailing literature related to the image watermarking is presented together with classification by utilising an assortment of techniques. In addition, a terse introduction about the digital watermarking is presented to get acquainted with the vital information on the subject of digital massive spreading of broadband networks and new developments in digital technology has made ownership protection and authorisation of digital multimedia a very important issue. The reason is the availability of powerful tools for editing, lossless copying and transmission of digital multimedia such as images. Image watermarking is now an effective solution for the problem of authentication and protection of copyrighted image content. In this paper, discrete wavelet transform DWT-based watermarking technique is proposed in which mean energy of the each of 32 Ă 32 block in the CH and CV subbands is calculated and range of coefficients that exceed the mean energy of the block are selected for watermark embedding. Watson perceptual distortion control model is considered to keep the perceptual quality of the image and genetic programming GP is used to provide optimum watermarking level for the selected coefficients. The results show that there is almost no difference between original and watermarked image demonstrating key feature of imperceptibility. The technique has been tested and proves to be effective against a set of malicious attacks. Jobin AbrahamProposed image watermarking scheme embeds identification watermark in certain selected regions where modifications introduced during the process of watermarking is less sensitive to HVS Human Visual System. Edge detectors are used to estimate regions in the image where intensity changes rapidly. Modifications to such pixel will not attract the attention of human eyes. Watermark is thus integrated imperceptibly into the digital images. The proposed is a scheme for embedding a unique index number as watermark for content tracking and SarmaAmrita GangulyThe emerging interest in the field of digital watermarking is due to the increase in concern over copyright protection of digital information and prevention of unauthorized access and manipulation of digital data. In this paper, a new robust and blind digital image watermarking algorithm based on combined DCT-DWT transformation is proposed. The host image is decomposed into four subbands using the first level DWT and then second level DWT is performed on the HL subband. The two smaller sub bands of the HL sub band LH2 and HL2 are used to embed the watermark in order to enhance the security of the algorithm. Here, 8x8 DCT is carried out on these two subbands and the middle frequency coefficients of the DCT blocks are selected to embed the watermark. Experimental results show that the new algorithm provides high imperceptibility as well as high robustness against different attacks such as JPEG compression, Gaussian noise, Salt & Pepper noise, Speckle noise, Scaling property protection of digital images and multimedia is a prickly and largely unsolved problem. A highly robust biometric, dual watermarking technique using hand vein feature is proposed in this paper for securing digital images. In visible watermarking, the hand vein feature of an individual is embedded to the host image using Discrete Cosine Transform DCT in spatial domain. The invisible watermark is then EX-ORed with the bit planes of visible watermarked image. The hand vein biometric characteristic has been used to measure the identity of the recipient. This dual watermarking technique establishes owner's right to the NinSergio RicciardiDigital watermarking is the process of embedding information into a noise-tolerant digital signal such as image or audio data. Such information is embedded in a way difficult to be removed in order to easily identify relevant information for many different purposes, such as the copyright ownership of the media, source tracking, piracy deterrence, etc. There is an extensive literature about watermarking algorithms and methods as well as possible attack techniques. In this work we collect a part of this vast literature in order to make easier for a non-expert reader about watermarking to have a high-level overview on new trends and technologies related to multimedia watermark algorithms and late security problems related to smart cards have seen a significant rise and the risks of the attack are of deep concern for the industries. In this context, smart card industries try to overcome the anomaly by implementing various countermeasures. In this paper we discuss and present a powerful attack based on the vulnerability of the linker which could change the correct byte code into malicious one. During the attack, the linker interprets the instructions as tokens and are able to resolve them. Later we propose a countermeasure which scrambles the instructions of the method byte code with the Java Card Program Counter jpc. Without the knowledge of jpc used to decrypt the byte code, an attacker cannot execute any malicious byte code. By this way we propose security interoperability for different Java Card platforms. Hong ShenBo ChenWatermarking as a powerful technique for copyright protection, content verification, covert communication and so on, has been studied for years, and is drawing more and more attention recently. There are many situations in which embedding multiple watermarks in an image is desired. This paper proposes an effective approach to embed dual watermarks by extending the single watermarking algorithms in Xie and Shen 2005 [1] and Xie and Shen 2006 [2] for numerical and logo watermarking, respectively. Experimental results show that the resulting dual watermarking algorithms have a significantly higher PSNR than existing dual watermarking algorithms and also retain the same robustness as and higher sensitivity than the original single watermarking algorithms on which they are is a technique which consists in introducing a brand, the name or the logo of the author, in an image in order to protect it against illegal copy. The capacity of the existing watermark channel is often limited. We propose in this paper a new robust method which consists in adding the triangular matrix of the mark obtained after the Schur decomposition to the DCT transform of the host image. The unitary matrix acts as secret key for the extraction of the mark. Unlike most watermarking algorithms, the host image and the mark have the same size. The results show that our method is robust against attack techniques as JPEG compression, colors reducing, adding noise, filtering, cropping, low rotations, and histogram ZhangLi MaXiu-juan XingCurrently, robust, invisible double digital watermarking technology becomes the most popular and challenging direction, it has aroused great concern in the international community in recent years. The single watermark algorithms always merely have single function. In order to overcome the drawbacks, a multi-purpose dual watermark algorithm based on wavelet transform and image partition is presented in the paper. The algorithm embeds both robust watermark and fragile watermark to one video sequence by using DWT and multiple embedded methods. The later embedded fragile watermark is served for the early robust watermark. The experiment results show the proposed algorithm is more robust and imperceptible, and it can achieve copyright protection and content authentication at the same YeA robust zero-watermark algorithm is proposed, which is based on singular value decomposition and discreet cosine transform. The image is firstly spilt into non-overlapping blocks. Afterwards, every block is conducted with singular value decomposition, and its singular value matrix is transformed with discreet cosine transform. The robust zero-watermark sequence is derived from comparing the numerical relationship between two direct coefficients from adjacent blocks. Experimental results of robustness tests show that it has good robustness against various YeTwo robust zero-watermark algorithms in hybrid transform domains are proposed. The first one is realized in hybrid transform domains of discreet cosine transform DCT and singular value decomposition SVD, and the other one is realized in hybrid transform domains of discreet wavelet transform DWT, DCT and SVD. The first algorithm divides an image into non-overlapping blocks, transforms every block with DCT, and conducts SVD on the upper left corner of every blockâs DCT matrix. Finally, it produces the zero-watermark sequence by judging the parity of normâs highest digit. The second algorithm transforms an image with DWT, divides its LL band into non-overlapping blocks, and transforms every block with DCT, then conducts SVD on the upper left corner of every blockâs DCT matrix. Finally, it produces the zero-watermark sequence by judging the parity of normâs highest digit. It is easy to find out that both of them have perfect visual effect. Experimental results show that as to images with different textures, both of them have good robustness against various Yong-mei Ma LiXing Xiu-juanWang Kai-fenResearch of robust and invisible double digital watermark is one of the hot fields currently, and it has received considerable attention. To change the situation that many methods about watermarking are based on embedding one single watermark, a new double digital watermark algorithm on the basis of discrete cosine transformation and image blocks is presented. The algorithm embeds both robust watermark and fragile watermark to one video sequence by using DCT and multiple embedded methods. The later embedded fragile watermark is served for the early robust watermark. The experiment results verify the algorithm achieves better robustness and imperceptibility. Yanyou WuQianqian ShiKun WangYangjiao SongThe electrochemical approach coupled with Sb microelectrode was developed to determine the carbonic anhydrase activity in a wide range. The sensing response of the microelectrode had a good linear relationship between potential and pH value in barbital buffer. The temperature would not affect the linear relationship. During the determination, the open-circuit potential method was taken to monitor the whole course of the reversible conversion catalyzed by carbonic anhydrase, and then the initial part of uniform velocity from the reaction curve was chosen to calculate the reaction velocity the time to change one unit of pH. This technique, in comparison with the conventional method was used to determine the activities of bovine red blood cells carbonic anhydrase, foliar carbonic anhydrase and extracellular carbonic anhydrase in some plants. The result showed that the electrochemical approach coupled with Sb microelectrode would obtain more credible, accurate data than the conventional method. KeywordspH changeâCarbonic anhydraseâSb microelectrodesâOpen-circuit potential OCPIn this chapter, a robust image watermarking algorithm in discrete wavelet transform DWT domain for stereo image coding is presented. First, a disparityimage is computed from the pair of stereo images using a frequency domain based matching criteria. Later, this disparity-image is used as a watermark and embedded into the left stereo image based on a modifying singular values concept. The strength of watermark is optimized using a real coded genetic algorithm to achieve the task of invisibility and robustness. The proposed scheme can achieve the following three main advantages. Any illegal user can not extract any information from the watermarked image since the host image is degraded using the ZIG-ZAG sequence. The second is that a legal user can retrieve the embedded watermark disparity-image and so able to recover 3-D information and right image of the stereo-pair. The third advantage is its robustness to the various attacks. Experimental results are presented to evaluate the performance of proposed algorithm in terms of accuracy and novel adaptive dual image watermarking technique is suggested and tested. The technique embeds a PN sequence which is the primary watermark into an image a secondary watermark and the resulting image is then embedded in the host image. The technique is implemented in the wavelet domain and the embedding factor alpha is first chosen arbitrary so as to improve the invisibility and robustness and then chosen adaptively depending on the energy content of the image to be watermarked in order to improve the performance. The technique is implemented on several gray scale images and then on several color images. The best achieved peak signal to noise ratio PSNR in case of gray scale images reached db whereas in color images it was YeZhaofeng MaXinxin NiuYixian YangThe copyright protection of digital content is one of the aims of digital right management DRM, among which digital watermarking is one of the key supporting technologies. This paper proposes a robust zero-watermark algorithm, which produces the zero-watermark sequence according to the parity of the first digit of the biggest singular value in every block. It essentially doesn't embed any watermark in the original image, thus the watermarked image is the same as its original counterpart. Experimental results show that it has good robustness against various attacks. Moreover, its computation is so low that it is easy to be applied into the practice of digital rights watermarking is a promising technique to help protect data security and intellectual property rights. In a digital watermarking scheme, it is not convenient to carry the original image all the time in order to detect the owner's signature from the watermarked image. Moreover, for those applications that require different watermark for different copies, it is preferred to utilize some kind of watermark independent algorithm in extraction does not need a priori knowledge of the watermark. In this paper we present a new hybrid watermarking scheme based on independent component analysis and the RGB decomposition. We present a novel strategic invisible approach for insertion-extraction of a digital watermark a color image, into color images. The novelty of our scheme makes use of Blind Source Separation model by manipulating the least significant levels of the blue channel so as not to bring about a perceptible change in the marked published machine vision algorithms are designed to be real-time and fully automatic with low computational complexity. These attributes are essential for applications such as stereo robotic vision. Motion Picture Digital Visual Effect facilities, however, have massive computation resources available and can afford human interaction to initialise algorithms and to guide them towards a good solution. On the other hand, motion pictures have significantly higher accuracy requirements and other unique challenges. Not all machine vision algorithms can readily be adapted to this environment. In this paper we outline the requirements of visual effects and indicate several challenges involved in using image processing and machine vision algorithms for stereo motion picture visual image watermarking is frequently used for many purposes, such as image authentication, fingerprinting, copyright protection, and tamper proofing. Imperceptibility and robustness are the watermark requirements of good watermarks. In this paper, we propose the Fast Walsh Hadamard transform FWHT combined with the Discrete Cosine Transform DCT as a new image watermarking scheme. The FWHT reorders the high-to-low sequence components contained in the signal. This scheme produces high perceptual transparency of the embedded watermark. Experimental results show that the proposed scheme has good visual perception and is robust against Chen Hong ShenXie and Shen improved Barni's basic pixelwise masking model and proposed a more robust wavelet-based watermarking algorithm against attacks including filtering, noise addition and compression. By extending their work, a new robust fragile double image watermarking algorithm is presented. Using the improved pixel-wise masking model and a new bit substitution based on pseudo-random sequence, our method embeds robust watermark and fragile watermark into the insensitive robust part and sensitive part of the wavelet coefficients of the host image respectively. This makes the two watermarks non-interfering and increases the watermarking capacity of the host image without reducing watermark robustness. Experimental results validated these desirable properties of the proposed method, and showed that our method has a higher PSNR than the existing double image watermarking schemes, while retaining the same robustness as the single watermarking MorganWe see the field of metareasoning to be the answer to many large organizational problems encountered when putting together an understandable cognitive architecture, capable of commonsense reasoning. In this paper we review the EM1 implementation of the Emotion Machine critic-selector architecture, as well as explain the current progress we have made in redesigning this first version implementation. For this purpose of redesign and large-scale implementation, we have written a novel programming language, Funk2, that focuses on efficient metareasoning and procedural reflection, the keystones of the critic-selector architecture. We present an argument for why the Funk2 programming language lends itself to easing the burden on programmers that prefer to not be restricted to strictly declarative programming paradigms by allowing the learning of critic and selector activation strengths by credit assignment through arbitrary procedural this paper we propose a DWT based dual watermarking technique wherein both blind and non-blindalgorithms are used for the copyright protection of the cover/host image and the watermark use the concept of embedding two watermarks into the cover image by actually embedding only one, toauthenticate the source image and protect the watermark simultaneously. Here the DWT coefficients of theprimary watermark logo are modified using another smaller secondary binary image sign and the midfrequencycoefficients of the cover/host image. Since the watermark has some features of host imageembedded in it, the security is increased two-fold and it also protects the watermark from any misuse orcopy attack. For this purpose a new pseudorandom generator based on the mathematical constant p hasbeen developed and used successfully in various stages of the algorithm. We have also proposed a newapproach of applying pseudo-randomness in selecting the watermark pixel values for embedding in thecover image. In all the existing techniques the randomness is incorporated in selecting the location toembed the watermark. This makes the embedding process more unpredictable. The cover image which iswatermarked with the signed-logo is subjected to various attacks like cropping, rotation, JPEGcompression, scaling and noising. From the results it has been found that it is very robust and has goodinvisibility as has not been able to resolve any references for this publication.
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Watermark adalah identitas yang dibubuhkan pada sebuah karya oleh penciptanya. Identitas tersebut dapat berupa logo, tulisan, atau ikon gambar. Kamu tentu sering menemukan watermark di berbagai karya. Misalnya saat menonton video TikTok, watermark-nya yaitu username si pemilik akun. Memangnya, penggunaan watermark ini untuk apa, sih? Yuk cari tahu fungsi, jenis, hingga cara membuat watermark di artikel ini! Apa Itu Watermark? Watermark adalah sebuah logo, gambar, atau tulisan yang dengan sengaja dimasukkan pada sebuah karya atau konten. Watermark dimasukkan dalam sebuah karya bukan tanpa alasan, melainkan untuk melindungi karya tersebut dari plagiasi dan penjiplakan. Dengan menggunakan watermark, karyamu akan lebih diakui kepemilikannya sehingga tidak mudah dicuri atau diklaim orang lain. Meski dimasukkan ke dalam sebuah karya, biasanya watermark dibuat kecil atau semi transparan sehingga tidak mengganggu tampilan karya. Sesuai namanya, watermark tanda air ini biasanya hanya terlihat samar dan semi transparan. Pada abad ke-13, pembuatannya dilakukan di atas kertas dengan cara mengubah ketebalan kertas yang masih basah pada bagian yang akan diberi watermark. Kemudian bagian tersebut akan ditekan dengan cetakan gambar sehingga ketika sudah kering nanti terbentuklah kertas yang ber-watermark sesuai cetakan tadi. Sementara di era internet of things IoT ini pembuatan tanda air semakin modern seperti menggunakan logo atau teks. Jika kamu sering melihat video Youtube, apalagi Youtuber ternama pasti kamu sering mendapatkan logo atau nama mereka di pojok videonya. Jika kamu pernah mengunduh sebuah dokumen seperti jurnal dari situs online, beberapa di antaranya juga memiliki watermark. Watermark ini bersinggungan juga dengan copyright. Sederhananya, copyright akan ditandai dengan sebuah watermark pada karya atau konten. Baca Juga Kamu Wajib Paham! Inilah Bedanya Copyright, Trademark, dan Patent Di bawah ini terdapat beberapa fungsi watermark yang perlu kamu ketahui 1. Melindungi konten dari plagiasi Konten berupa gambar sangat mudah diplagiasi oleh orang lain. Di internet sendiri, kamu hanya perlu klik kanan gambar lalu simpan, maka kamu sudah bisa mendapatkan fotonya. Apalagi jika kamu menjual foto tersebut pada situs jual foto online. Watermark adalah solusi agar orang lain tidak dapat menggunakannya sembarangan tanpa persetujuan kamu. 2. Menambah keterangan konten Sebuah gambar yang tidak ada deskripsinya dapat mengandung seribu makna. Oleh karena itu tidak ada salahnya untuk menambahkan beberapa kalimat pada gambar tersebut. Contohnya kamu sedang pergi berlibur dan mengambil gambar. Foto tersebut bisa kamu beri tanggal, tempat, maupun cerita singkat yang menggambarkan foto itu. 3. Menandai seseorang Selanjutnya adalah untuk menandai seseorang yang ikut pada konten tersebut. Ketika kamu upload gambar di internet, misalnya di Instagram dan Facebook tentu terdapat fitur tag atau menandai. Namun, biasanya ada orang-orang yang memang tidak ingin profil mereka tersebar. Maka dari itu memanfaatkan watermark, dengan cara memberi nama pada foto tersebut yang menunjukkan identitasnya orangnya. 4. Memberi informasi detail foto Ketika kamu mengambil foto entah menggunakan kamera digital ataupun ponsel, tentu memiliki banyak informasi teknis penting yang biasa disebut EXIF. Misalnya seperti aperture, shutter speed, merek kamera dan yang lain. Informasi ini dapat berguna untuk orang yang sedang belajar fotografi. Sehingga mereka dapat mengikuti pengaturan kamera tersebut, sehingga hasil fotonya lebih bagus. Data EXIF itulah yang bisa kamu buat menjadi watermark. Baca Juga Belajar Fotografi dengan Memahami Istilah-istilah Teknis Fotografi 5. Membuat meme dan komik Kamu pasti pernah melihat meme yang berisi gambar dengan kutipan lucu, kan? Kutipan itu bisa kamu jadikan sebagai watermark pada foto. Cukup menggunakan gambar yang dibutuhkan, lalu edit dengan menambahkan teks, setelah itu share di media sosial kamu. Bukan hanya menambahkan logo atau beberapa teks saja. Lebih dari itu, pada foto kamu dapat memasukan sebuah puisi atau kutipan. Bisa juga disertai dengan tanggal dibuat serta sumber fotonya. Jenis-Jenis Watermark Adapun jenis watermark dapat dibagi menjadi dua, yaitu Visible Watermark Visible watermark adalah watermark yang dapat dilihat secara jelas. Visible watermark ini dapat berupa Logo Keberadaan logo perusahaan akan menjadi sebuah identitas tersendiri branding agar bisa lebih mudah dikenali khalayak umum. Tulisan Watermark jenis ini biasanya berupa font yang mencantumkan informasi pemilik karya seperti username akun media sosial, nama toko, nama website, dan lain sebagainya. Ikon Watermark ini biasanya disertakan dalam video YouTube. Selain untuk mencegah pencurian konten, visible watermark juga bisa untuk mengenalkan brand perusahaan kepada audiens. Contoh visible watermark yaitu pada gambar milik Dewaweb dan dokumen berikut ini Digital Watermark Digital watermark adalah watermark yang tidak dapat dilihat hanya dengan indra penglihatan saja. Lebih modern lagi, sebagai gantinya watermark disisipkan dalam data gambar atau karya tersebut untuk tanda kepemilikan. Oleh karena itu, watermark jenis ini banyak digunakan pada lembaga perbankan atau berita untuk mengidentifikasi sumber serta mengautentikasi medianya. Kelebihan dan Kekurangan Watermark Walaupun fungsinya sangat penting, watermark tetap memiliki kekurangan. Berikut adalah kelebihan dan kekurangan penggunaan watermark Kelebihan Kelebihan utama watermark adalah mampu menghindari adanya pencurian karya. Orang lain akan berpikir dua kali untuk menggunakan apalagi mengklaim karyamu. Jadi, hasil karyamu lebih dihargai oleh publik. Mampu membangun branding. Saat karyamu dengan watermark dilihat orang lain maka mereka bisa langsung mencari tahu tentang kamu atau perusahaanmu. Kekurangan Memerlukan waktu lebih untuk memasukkan watermark ke karya. Watermark tidak sepenuhnya menjamin karya bebas dari pencurian. Hal ini karena watermark masih bisa dihapus atau di-crop. Kamu tentunya tidak mau karyamu dicuri, kan? Tenang, di artikel ini Dewaweb juga memberikan tips membuat watermark agar tidak mudah dihapus. Simak terus, ya! Cara Membuat Watermark dengan Canva Ada banyak tools dan aplikasi yang bisa digunakan untuk membuat watermark seperti Photoshop, Adobe Illustrator, Microsoft Word, Canva, dan lain-lain. Pada artikel ini Dewaweb menggunakan Canva untuk membuat watermark karena jauh lebih mudah dilakukan. Yuk simak langkah-langkahnya! Buka situs Canva. Di sini pengaturan bahasa menggunakan Bahasa Indonesia. Langsung klik pada Buat Desain > Ukuran Khusus kemudian pilih ukuran yang diinginkan. Contohnya ukuran banner. Setelah itu kamu bisa mulai membuat logo untuk watermark-nya. Jika sudah, klik ikon titik tiga > transparansi > atur transparansi. Apabila logo sudah terbuat, pilih Bagikan > Unduh > Latar belakang transparan jika akun premium. Kemudian klik Unduh. Setelah terunduh, selanjutnya masukkan foto yang ingin diberikan watermark. Tambahkan watermark pada pojok kiri atau kanan foto, seperti gambar berikut. Selesai! Kamu sudah berhasil membuat watermark pada karyamu. Sangat mudah, kan? Jika kamu ingin membuat watermark di Microsoft Word, kamu bisa cari tahu caranya pada artikel Cara Membuat Watermark di Word dengan Mudah. Tips Membuat Watermark Nah, meskipun menggunakan watermark, pastikan agar karya utama tidak terganggu dan tetap enak dilihat. Berikut ini Dewaweb berikan beberapa tips dalam membuat watermark Pastikan ukuran watermark proporsional. Biasanya ukuran watermark tidak lebih dari 1/16 ukuran karya. Jangan meletakkan watermark pada latar belakang yang rata mulus karena memungkinkan untuk dihapus atau di-crop. Hindari peletakan watermark yang berada terlalu ujung karena juga memungkinkan untuk di-crop. Gunakan warna semi transparan agar tidak merusak estetika karya. Cantumkan informasi pribadi misalnya â© 2018 Nama Kamuâ. Tips tersebut penting mengingat karyamu masih bisa dicuri oleh orang lain, misalnya dengan cara menghapus background karyamu dan menumpuknya dengan watermark lain. Baca Juga 10+ Cara Hapus Background Foto Online, Mudah & Gratis Yuk Lindungi Kontenmu dengan Watermark! Sekarang kamu sudah tahu apa itu watermark. Watermark adalah logo, teks, atau gambar yang dibubuhkan pada sebuah karya atau konten. Fungsi watermark yaitu untuk menghindari adanya plagiasi sehingga tidak ada orang yang bisa mengklaim karyamu sembarangan, apalagi untuk tujuan komersial. Baca Juga 11 Website Terbaik untuk Cek Plagiasi Konten dan Artikel Tenang, pembuatan watermark tidak ribet, kok! Kamu bisa membuatnya dengan Canva secara gratis dan mudah! Langkah-langkahnya juga sudah dijelaskan secara rinci di atas. Yuk, mulai sekarang lindungilah kontenmu dengan menggunakan watermark! Demikian artikel ini, semoga bermanfaat, ya! Kamu juga bisa membaca kumpulan artikel informatif lainnya di blog Dewaweb. Jika tertarik, kamu juga dapat mengikuti program afiliasi dari Dewaweb ataupun webinar gratis dari Dewatalks yang pastinya bermanfaat untuk menambah wawasanmu seputar dunia digital dan pengembangan website. Salam sukses online!
Step1: Download the free trial, and install it on your PC.Launch it. Step 2: Select the Unlock Screen Lock mode to help you bypass the iPhone demo mode. Step 3: Using a working USB cable, connect you iDevice to your PC and make sure the device is recognized. Step 4: Download the firmware package and unpack it to move to the next step. Step 5: Follow the on
Sale!$ $ or 4 payments of $ with Wizit learn moreOnly 1 left in stock can be backordered Description Additional information Create it your way with the Mont Marte Dual Tip Markers. Featuring 24 rich colours and high-quality ink, these alcohol markers are suitable for designers, illustrators and fine artists. These dual tip markers have a chisel tip and a fine bullet tip to cover all your mark making levelAlcohol-based ink24 rich coloursSuitable for designers, illustrators and fine artistsDual tip chisel and fine bullet tipHigh quality ink can be layered to create depth
Teruscaranya gimana? Gampang, ikutin aja langkah dibawah ini: 1. Buka aplikasi Prisma seperti biasa, lalu ia akan mengaktifkan kamera dengan interface yang amat sederhana. Perhatikan icon-icon pada interface kamera tersebut, pilih menu Setting yang menggunakan icon roda gerigi seperti pada gambar dibawah ini. 2.
I'm using Xamarin camera2basic. When I taking photos on some picture write a text device watermark "SHOT ON MI A2" and some picture without that. I want to take photo without watermark. How can I disable watermark. On my device camera setting I disabled watermark but in my App it's enable for some picture. here is 2 pictures by my App xamarinandroid-camera2 asked Mar 18, 2021 at 740 2 I said On my device camera setting I disabled watermark but in my App it's enable for some picture. I disabled both of "Time Watermark" and "Dual Camera Watermark" . but in my app write "Dual Camera Watermark" on some photo. Mar 18, 2021 at 2037 Load 7 more related questions Show fewer related questions
Edityour video, your way. Kapwing is a free online video editor. Simple enough to learn without tutorials, yet powerful enough to support full creator workflows, Kapwing offers a robust video editing solution for every creator. Kapwing is a non-linear editor, meaning that video clips can be rearranged, appended, trimmed, and much more on a
Buat para pecinta fotografi pasti rasanya sangat senang sekali saat karya-karya kamu bisa dinikmati bukan hanya oleh diri sendiri saja tapi juga oleh banyak orang. Untungnya, saat ini kehadiran platform media sosial seperti Instagram bisa dimanfaatkan untuk membagikan karya-karya kamu itu, geng. Namun permasalahannya adalah, banyak orang nggak bertanggung jawab yang asal ambil dan mengakuinya sebagai karya mereka sendiri. Nah, untuk menghindari hal tersebut, kamu bisa lho menambahkan watermark pada hasil foto sehingga nggak sembarang orang bisa mengakuinya. Aplikasi Untuk Membuat Watermark Jika para profesional biasanya menambahkan watermark dengan menggunakan aplikasi-aplikasi yang cukup rumit digunakan oleh orang awam, saat ini ada banyak aplikasi Andorid yang menawarkan fasilitas ini, geng. Nah, berikut adalah beberapa rekomendasi aplikasi Android untuk menambahkan watermark pada foto, geng. 1. Add Watermark on Photos Add Watermark on Photos Apps DOWNLOAD Sesuai dengan namanya, Add Watermark on Photos adalah aplikasi yang memungkinkan pengguna untuk menambahkan watermark pada sebuah foto. Menariknya, aplikasi ini menyediakan fasilitas untuk merancang sendiri desain dari watermark yang akan digunakan, geng. Selain itu, hasil watermark yang sudah dibuat juga bisa kamu simpan sebagai template sehingga bisa digunakan lagi suatu saat kemudian. Keterangan Add Watermark on Photos Developer Simply Entertaining Ulasan Jumlah Pengulas Ukuran 57MB Instal 1M+ Android Minimum 2. Photo Watermark Photo Watermark Apps DOWNLOAD Dikembangkan oleh developer MVTrail Tech, Photo Watermark adalah aplikasi yang memungkinkan kamu untuk menambahkan watermark dengan tingkat transparansi yang bisa ditentukan. Aplikasi Photo Watermark sendiri memiliki tampilan yang cukup sederhana sehingga mudah digunakan oleh orang awam sekalipun. Beberapa fitur yang ditawarkan oleh aplikasi ini sendiri meliputi pengambilan foto dengan kamera, pilihan font dan warna yang beragam, ratusan teks dan stiker .png bawaan, dan masih ada lagi. Keterangan Photo Watermark Developer MVTrail Tech Ulasan Jumlah Pengulas Ukuran 15MB Instal 1M+ Android Minimum 3. Watermark Maker - Add Watermark to Photos Watermark Maker - Add Watermark to Photos Apps DOWNLOAD Menawarkan user interface UI yang sederahana namun tetap menarik, aplikasi Watermark Maker bisa membantu kamu terhindar dari penyalahgunaan foto secara ilegal, geng. Aplikasi Watermark Maker sendiri memiliki banyak sekali fitur yang bisa membantu kamu mempermudah proses pembuatan logo watermark. Beberapa fitur yang menjadi andalannya adalah menyimpan hasil rancangan sebagai template, pilihan font, warna, dan ukuran yang bergam, tanda tangan digital, dan masih banyak lagi. Keterangan Watermark Maker - Add Watermark to Photos Developer Cute Wallpapers Studio Ulasan Jumlah Pengulas 573 Ukuran 21MB Instal 50K+ Android Minimum 4. iWatermark Free Add Watermark Text Logo Pic TM iWatermark Free Add Watermark Text Logo Pic TM Apps DOWNLOAD Telah didownload oleh lebih dari 500 ribu pengguna, aplikasi iWatermark nggak hanya tersedia untuk HP Android saja tapi juga untuk perangkat iOS, Mac, dan Windows. Serupa dengan aplikasi watermark lainnya, iWatermark menyediakan beragam fitur menarik yang dapat memudahkan pengguna saat membuat watermark. Fitur-fitur yang disediakan oleh aplikasi ini sendiri meliputi pilihan font yang beragam, pengaturan transapransi, warna, rotasi, dan lainnya. Sayangnya, aplikasi iWatermark gratis ini akan menempelkan watermark 'Dibuat dengan iWatermark' pada hasil editan, geng. Keterangan iWatermark Free Add Watermark Text Logo Pic TM Developer Plum Amazing Ulasan Jumlah Pengulas Ukuran 10MB Instal 500K+ Android Minimum 5. Video Watermark - Crate & Add Watermark on Videos Video Watermark - Crate & Add Watermark on Videos Apps DOWNLOAD Jika aplikasi-aplikasi sebelumnya berfungsi untuk membuat watermark dalam sebuah foto, maka aplikasi Video Watermark ini berfungsi untuk membuat watermark pada video, geng. Nggak sesulit yang mungkin kamu bayangkan, aplikasi Video Watermark adalah aplikasi yang cepat dan mudah digunakan untuk membuat dan menerapkan watermark pada video. Aplikasi Video Watermark sendiri dibekali dengan fitur-fitur yang serupa dengan aplikasi-aplikasi sebelumnya. Keterangan Video Watermark Developer Z Mobile Apps Ulasan Jumlah Pengulas Ukuran 57MB Instal 500K+ Android Minimum 6. Add Watermark on Videos & Photos Add Watermark on Videos & Photos Apps DOWNLOAD Lagi cari aplikasi yang menawarkan fasilitas untuk menambahkan watermark pada foto dan video sekaligus dalam satu aplikasi? Kalau gitu aplikasi satu ini cocok buat kamu download, geng. Sesuai dengan namanya, aplikasi Add Watermark on Videos & Photos ini memungkinkan kamu untuk menambahkan watermark baik pada file foto ataupun video yang kamu punya, geng. Menariknya, aplikasi Add Watermark on Videos & Photos ini diklaim mampu mempertahankan kualitas resolusi file aslinya sehingga kualitas akan tetap terjamin. Keterangan Add Watermark on Videos & Photos Developer Z Mobile Apps Ulasan Jumlah Pengulas Ukuran 43MB Instal 100K+ Android Minimum 7. Dynamo - Watermark Video Animasi Dynamo - Watermark Video Animasi Apps DOWNLOAD Rekomendasi terakhir aplikasi untuk membuat watermark adalah Dynamo - Watermark Video Animasi, geng. Berbeda dengan aplikasi lainnya, Dynamo menawarkan watermark dalam bentuk animasi bergerak yang bisa kamu atur sendiri desain dan gerakannya. Namun sayangnya, hasil watermark yang dibuat di aplikasi ini hanya bisa ditambahkan ke file video saja, geng. Dengan aplikasi ini, kamu nggak perlu lagi deh install aplikasi edit video yang cara penggunaannya pun lebih ribet. Keterangan Dynamo - Watermark Video Animasi Developer photoshop mobile apps Ulasan Jumlah Pengulas Ukuran 43MB Instal 100K+ Android Minimum Akhir Kata Nah, itulah tadi beberapa aplikasi untuk membuat watermark yang bisa digunakan untuk melindungi hasil karya kamu, geng. Dengan begitu, karya kamu akan aman dari tangan-tangan jahil orang yang asal main comot karya orang. Baca juga artikel seputar Aplikasi Android atau artikel menarik lainnya dari Shelda Audita. ARTIKEL TERKAIT 10 Aplikasi Download Permainan Android Terbaik 2021 Koleksinya Lengkap! Bukalapak Hilang dari Play Store, Ini Aplikasi Jual Beli Online Terbaik Lainnya! 7 Aplikasi Untuk Cek Fungsi HP Paling Akurat, Gak Perlu Diservis! 10 Aplikasi Nakal Menurut Play Store, Awas Jangan Sampe Ke-Download! 7 Aplikasi di HP yang Ternyata Dibuat oleh Artis Terkenal, Ayu Ting Ting Termasuk! 10+ Aplikasi Kompres Foto di HP Ter-Recommended 2022, Bisa Sampai 100 KB Aja!
Iused to be a machinist. Machinists often times speak of a "sense of touch" or "sense of feel," that helps them diagnose whether they have a lathe or mill setup correctly. I make the argument this is a very "Sensor" type of intellectualism. I now work with alot of physicists, and the dual intelligence for them would be "physical intuition."
In the modern era of virtual computers over the notional environment of computer networks, the protection of influential documents is a major concern. To bring out this motto, digital watermarking with biometric features plays a crucial part. It utilizes advanced technology of cuffing data into digital media, text, image, video, or audio files. The strategy of cuffing an image inside another image by applying biometric features namely signature and fingerprint using watermarking techniques is the key purpose of this study. To accomplish this, a combined watermarking strategy consisting of Discrete Wavelet Transform, Discrete Cosine Transform, and Singular Value Decomposition DWT-DCT-SVD is projected for authentication of image that is foolproof against attacks. Here, singular values of watermark1 fingerprint and watermark2 signature are obtained by applying DWT-DCT-SVD. Affixing both the singular values of watermarks, we acquire the transformed watermark. Later, the same is applied to cover image to extract the singular values. Then we add these values to the cover image and transformed watermark to obtain a final watermarked image containing both signature and fingerprint. To upgrade the reliability, sturdiness, and originality of the image, a fusion of watermarking techniques along with dual biometric features is exhibited. The experimental results conveyed that the proposed scheme achieved an average PSNR value of about 40 dB, an average SSIM value of and an embedded watermark resilient to various attacks in the watermarked IntroductionCopyright infringement has increased as a result of the rapid blooming of cyberspace and communication technology, which has led to an exchange of digital mixed media content. The transmission of digital data across public networks like the Internet makes the protection of personal information and intellectual property rights IPR crucial in the modern day [1]. Digital watermarking is a means to get around this problem and prove ownership of digital assets that are being used ease of multimedia content distribution is due to the fast development of the internet, multimedia technologies, communication, and reproduction. Multimedia data is prone to issues such as illegal copying and distribution pirating, editing, and copyright. In order to protect the data from the above-mentioned issues, digital watermarking is encrypted sort of coding called a digital watermark is added to a signal that can handle sounds, such as audio, video, or image data. Biometric systems have been using watermarking techniques to safeguard and authenticate biometric data and improve recognition accuracy in an effort to boost the trustworthiness of self-awareness systems that can be differentiated between a legitimate person and a fraudster. An encrypted sort of coding called a digital watermark is added to a signal that can handle sounds, such as audio, video, or image data. Biometric systems have been using watermarking techniques to safeguard and authenticate biometric data and improve recognition accuracy in an effort to boost the trustworthiness of self-awareness systems that can tell the difference between a legitimate person and a proposed work briefs on how to authenticate images by embedding biometric information into a digital image using a new hybrid system that includes three different algorithms namely DWT-DCT-SVD. In the embedding process, the cover image undergoes a DWT transform which decomposes it into four subbands, namely, L-L, L-H, H-L, and H-H, where L-L denotes Low-Low, L-H denotes Low-High, H-L denotes High-Low, H-H denotes High-High. L-L subband undergoes DCT transform to obtain 4 Ă 4 blocks. The DCT transform mainly compresses the data or image. The SVD of a matrix is an orthogonal transform used for matrix diagonalization to obtain singular values of the watermark. Subsequently, the SVD factors of each block are modified to create the watermarked image, extracted, and then inserted into the cover image. In the process of extraction, the watermarked image is acquired and a reverse stratagem is utilized to obtain the watermark, which is the biometric refers to the automatic identification of people based on their physiological and behavioral features; two authentications based on behavioral and physiological characteristics for attaching the watermark to the cover image are applied. Measurements taken from the human body are used in physiological biometrics, such as fingerprints, iris, face, retina. The dynamic measurements used in behavioral biometrics such as signatures, voice, and keystrokes, are based on human actions. The proposed hybrid watermarking system is cooperative integration of signature and fingerprint watermarks to cover image to assure the integrity, authenticity, and confidentiality of the digital documents. The embedding procedure consists of two steps in the projected method. First, the embedding of the signature in the fingerprint is carried out to create the transformed watermark, as shown in Figure 1. The final watermark is created by embedding the cover image in this extraction procedure is split into two steps. Step 1 extract the fingerprint from the watermark that results in an extracted fingerprint. Step 2 the signature is further extracted from the extracted fingerprint image, as shown in Figure Hybrid DWT-DCT-SVDThe proposed scheme consists of DWT, DCT, and SVD for image authentication that is robust against attacks. In the process of watermarking, two major steps are carried out viz., embedding and extraction. In this, the combinations of DWT, DCT, and SVD along with their inverses are applied. This hybrid technique is suitable for different image processing attacks by achieving the properties of watermarks, integrity, authenticity, and confidentiality of digitized image documents. The performance metrics used in this research are Peak Signal to Noise Ratio PSNR, Structural Similarity Index SSIM, and Normalized Correlation NC. This proposed methodology is deployed on dual watermarking where the embedding process consists of DWT, DCT, and SVD which provide image authentication and is robust against embedding process consists of DWT, DCT, and SVD watermarking techniques. To cover the image, one level of DWT is applied. Hence applied SVD to the L-L sub-band. Besides, the application of DWT to the biometric and then DCT followed by the SVD technique is carried out. Parallelly, SVD is applied to the signature. Application of SVD to the images results in three matrices namely U S and V. Considered the singular valued S matrix as it contains the diagonal properties of the image. Further, added the singular values of the biometric and alpha times of the signature. To recreate the L-L sub-hand of biometric the inverse of the SVD is applied. Later, we applied inverse DCT as we applied DCT in the earlier steps. Now we have applied inverse DWT to create an image with a modified L-L subband. This gives a results in the transformed watermark. Now apply the application of SVD to it in order to get a singular valued matrix. Next, to cover the image, singular values are added off and beta times singular matrix of the transformed watermark. Now apply the inverse SVD to recreate the cover image with manipulated singular values. Then followed by applying DCT and then DWT to create an image with a modified L-L subband. This gives a final watermarked image; this contains the signature and biometric embedded on the cover image, and this completes the embedded process. The extraction process for the transformed watermark biometric is done by applying DWT on the final watermark to obtain four subbands. Next, apply DCT to the L-L sub-band followed by SVD to obtain singular values of final watermarked image. Later, DWT is followed by DCT and then SVD to obtain signature images from the transformed image. This completes the extraction DCTWhen digital photos are uncompressed, they require a massive quantity of storage space. For such uncompressed data to be transmitted across the network, large transmission bandwidth is required. The most common image compression method is the Discrete Cosine Transform DCT [1]. The JPEG picture compression method makes use of DCT. The two-dimensional DCT is calculated for each block of the 8 Ă 8 or 16 Ă 16 divided input image. Following that, the DCT coefficients are quantized, encoded, and DCT can store the image with only fewer coefficients, and is used in lossy image compression to reduce the redundancy between neighboring pixels. The DCT formula with a 2D matrix is shown in equation 1.where the x, yth elements of the image element are represented by the matrix p as px, y. The blockâs size, N, is used for the DCT. The pixel values of the native matrix of the image equation determine the value of one entry i, jth of the modified image. For the standard JPEG 8 Ă 8 blocks, N = 8 and x, y is in the stretch of 0 to DCT divides pictures into components with various frequencies. Because fewer significant frequencies are dropped during quantization in the compression portion, the term lossy is in use. Later, during the decompression phase, the image is retrieved using the remaining most crucial frequencies. As a result, some distortion is included in the reconstructed images; however, the levels of distortion can be altered during the compression stage. JPEG is used for both color and black and white photographs; however, the article focuses on the DWTThe suggested methodology incorporates the Discrete Wavelet Transform DWT [2] approach to withstand the attacks with a robust model. Low-Low, Low-High, High-Low, and High-High, L-L, L-H, H-L, and H-H are four subbands created by DWT HH. The original image will be recreated using the above four subbands. The image can theoretically be processed via the filter bank as shown in Figure 3 to produce various subband frequency illustrated in Figure 4, the L-L subband defines low-pass filtering for each row and column, resulting in a low-resolution approximation of the original image. Similarly, the L-H subband was created by applying low-pass filtering to each row and high-pass filtering to each column. The L-H subband is influenced by high-frequency features along the column direction. The H-L subband is the result of high-pass and low-pass filtering on each row and column. The H-L subband is influenced by high-frequency features along the row direction. The H-H subband is created by applying high-pass filtering to each row and column. The H-H subband is influenced by high-frequency features in the diagonal direction [3].DWT-Based Feature Extraction using multilevel decomposition of previously processed pictures, DWT effectively extracts discriminant characteristics that are impervious to arbitrary environmental fluctuations. The discrete interval wavelets are sampled for the wavelet transform known as the DWT. DWT provides information about the frequency and spatial domains of a picture simultaneously. An image can be studied using the DWT operation, which combines the analysis filter bank and decimation process. A 2D transform is created from two distinct 1D transformations. In 1D DWT, the approximation coefficients hold the low-frequency information, whereas the detail coefficients hold the high-frequency information. The input image is divided into four separate subbands by the application of 2D DWT low-frequency components in the horizontal and vertical directions cA, low-frequency components in the horizontal and high-frequency components in the vertical directions cV, high-frequency components in the horizontal and low-frequency components in the vertical directions cH, and high-frequency components in the horizontal and vertical directions cD. You can alternatively write cA, cV, cH, and cD as L-L, L-H, H-L, and H-H, SVDSingular value decomposition SVD [1, 4] is a method for approximating data matrix decomposition into an optimal approximation of the signal and noise components. This is one of the most essential aspects of the SVD decomposition in noise filtering, compression, and forensics, and it can also be viewed as a properly identifiable noise refactors into three matrices for the given digital image. To refactor the image singular values are used and at the end of this process storage space required by the image is reduced as the image is represented with a smaller set of values. The SVD of M Ă N matrix A is given by the following equation 2.where U M Ă N matrix of the orthonormal eigenvectors of AAT. đđ Transpose of the n Ă n matrix containing the orthonormal eigenvectors of A^{T}A. W N Ă N diagonal matrix of the singular values which are the square roots of the eigenvalues of system can be divided into a number of linearly independent components, each of which contributes its own amount of energy, using the most efficient and stable technique known as orthogonal matrix columns U are referred to as the left singular vectors, whereas the orthogonal matrix columns V are referred to as the right singular vectors. The diagonal members are reflecting the singular values of the maximum energy packing of the SVD, the ability to solve the least squares issue, the ability to compute the pseudoinverse of a matrix, and multivariate analysis are all significant benefits for images [1, 5]. A crucial characteristic of SVD is its relationship to a matrixâs rank and its capacity to approximate matrices of a particular rank. Digital images can frequently be characterized by the sum of a relatively limited number of Eigen images since they are frequently represented by low-rank matrices. Images are compressed in compression, and SVD with the highest energy packing property is typically used. As previously established, SVD divides a matrix into orthogonal parts so that the best sub-rank approximations can be made [6, 7]. Truncated SVD transformation with rank r offers significant storage savings over storing the entire matrix with acceptable quality. The block diagram for the SVD-based compression is shown in Figure illumination data can be found in the singular value matrix produced by SVD. As a result, altering the single values will directly impact how the image is illuminated. As a result, the imageâs other details wonât be altered. Second, by using the L-L subband illumination enhancement, the edge information in other subbands will be protected L-H, H-L, and H-H.The study [1] the research that is being offered displays an adaptive scaling factor based on particular DWT-DCT coefficients of its image material. The role of particular DWT-DCT coefficients relative to the average value of DWT-DCT coefficients was used to construct the adaptive scaling factor. Using a suggested set of guidelines that consider the adaptive scaling factor, the watermark image was integrated. The results of the experiments showed that the suggested method produced a high PSNR value of 47 dB, an SSIM value of around and an implanted watermark resistance to many attacks in the watermarked the integration procedure in the article [5], a discrete wavelet transform is applied to the image, and then the ZigZag scanning method is used to topologically reorganize the coefficients of the L-L subbands. The watermark bits are then integrated using the resulting coefficients. The integrity of the watermark may be easily confirmed thanks to an embedded hash of the electronic patient record. The experimental results show that the approach has high invisibility with a PSNR above 70 dB and very good robustness against a wide range of geometric and destructive attacks. The invisibility and robustness of the approach have been many of the currently used hybrid SVD-based picture watermarking systems is insecure, the study [4] primarily focuses on the analysis of the state-of-the-art in this area. Additionally, there arenât many in-depth reviews in this field. In order to draw attention to numerous security risks, unresolved challenges, and research gaps, they conducted efficiency comparisons. Based on the results, this study gives researchers and practitioners important information they can use to improve the field of picture watermarking. It also gives suggestions for how to make more reliable schemes in the work [8] achieved a superior imperceptibility of dB, and demonstrates that watermarking may be included in a host image using various transform operations, including discrete cosine transform DCT, discrete wavelet transforms DWT, and singular value decomposition SVD. But not every design criterion is met at once by a single transformation. In order to close this gap, they developed a hybrid blind digital image watermarking technique using DCT, DWT, and SVD. This method was more robust than existing state-of-the-art techniques against filter, salt-and-pepper noise SPN, and rotation attacks. The WNC value for a median filter with various window sizes is 1, which is higher than the current well-known transformsâthe discrete wavelet transform DWT, discrete cosine transform DCT, and singular value decompositionâare combined in the system in [6] SVD. By reaching greater values of imperceptibility in the form of PSNR with a value of decibels dB and SSIM with a value of experimental results show that the suggested technique exceeds the strategies already published in the literature. With a maximum NCC value of and a minimum BER value of it simultaneously achieves exceptional robustness ratings. The DWT-SVD performance suggested in the study [9] was verified throughout the training phase, and the suggested systemâs high invisibility and resilience against different forms of attacks on watermarked photos were also demonstrated. When the suggested systemâs findings were contrasted with those of other systems, it became clear that DWT-SVD performed better against pixel-value alteration suggested work in [10] illustrates a robust watermarking technique for grayscale photos using lifting wavelet transform and singular value decomposition as the basis for multiobjective artificial bee colony optimization. Here, the actual image is changed to four subbands using three levels of lifting wavelet transform, and then the watermark imageâs singular value is merged with the original imageâs unique value for the L-H subband. In order to achieve the highest possible robustness without compromising watermark clarity, multiple scaling factors are used in the embedding operation on behalf of the single scaling element. The results of the experiments show that the invisibility is very good and that it is resistant to a wide range of attacks that use image processing. A non-blind watermarking NBW schemes malfunction for watermarking stratagem thereby giving out to impart perpetually imperceptibility, depriving of robustness and competence for embedding. So, to tame this drawback, an algorithm for blind watermarking BW was proposed [11] to cover the glitches of impart safeguarding of copyright that has crucial demand for color images, an image-watermarking scheme deployed on sequence-based MRT SMRT was tendered for color images [12] where the principle goal was to detect preferable color space among the habitually pre-owned color spaces. A cascaded neural network approach deployed on two different neural network models was projected [13] by using an optimized feature-based digital watermarking algorithm. Here, the cascading of the neural network spawns the potent pattern for embedding. In the study [14], researchers tendered a strategy using watermarking technique of Fourier transform for color images where image will be declined into two variants where the image is segmented into R, G and B, sections where DFT is performed and these coefficients so obtained will use medium frequency band to encapsulate [15], which comprises of discrete wave transformation technique combined with Hessenberg decomposition HD and singular value decomposition SVD using scaling factor, watermark is embedded into the cover image. In [16], a watermarking algorithm of the color image is projected, where it explores the combination of DWT-DCT-SVD. Here the host image which is in RGB space is converted to YUV color space. Then a layer of DWT is put into the luminance component Y, followed by DCT and SVD to each block. The results are good enough to embrace the attacks and imperceptibility property of watermark. In [2, 3, 7, 17], some basic comparison of watermarking with steganography and a summary of different methods of image steganography is carried out. An effective DWTâSVD is deployed with self-adaptive differential evolution SDE algorithm for image watermarking scheme, SDE adjusts the mutation factor F and the crossover rate Cr dynamically in order to balance an individualâs exploration and exploitation capability for different evolving phases to achieve invisibility [18â20]. In [21â24], comparative analysis of image compression is done by three transform methods, which are Discrete Cosine Transform DCT, Discrete Wavelet Transform DWT and Hybrid DCT + DWT Transform, thereby achieving better invisibility property and good PSNR Proposed MethodologyThis proposed methodology is deployed on dual watermarking where the embedding process consists of DWT, DCT, and SVD which provide image authentication and is robust against attacks. Figure 6 depicts the embedding process that consists of DWT, DCT, and SVD watermarking techniques. The two watermarks used in the proposed methodology are biometrics and signature. These images are converted in grayscale because the SVD can only be applied to two-dimensional images whereas the color images are of three dimensions. Since the property of DWT after one level decomposition, the host image should be larger than the watermark. For the first embedding process, biometrics is the host image and the signature is the watermark. The biometric should be larger than the signature. Here, to the cover image one level of DWT is applied. Then the image is divided into four subbands, namely, L-L, L-H, H-L, and H-H. The major details and properties of the image are stored in the L-L subband. So, we contemplate embedding the biometric into the L-L subband. So, we have applied SVD to the L-L subband. Besides we have applied DWT to the biometric and then DCT and followed by SVD. Parallelly, we applied SVD to the signature, by applying SVD to the images we obtain three matrices namely U S and proposed methodology is divided into two steps Embedding Extraction Watermark Embedding AlgorithmThe Embedding algorithm can be split into two phases process of signature into biometric Step 1 Apply SVD to the signature to obtain the singular values SVS. Step 2 Apply DWT level-1 to the biometric to obtain 4-subbands. Step 3 Apply DCT to L-L subband in order to remove redundancy. Step 4 Apply SVD to the biometric to obtain singular values SVB. Step 5 Change the singular values of biometric SVB by adding the singular values of signature SVS. Step 6 The Transformed watermark TW is obtained by applying inverse SVD, DCT and process of Transformed watermark into Cover image Step 1 Apply DWT to cover image to obtain 4-subbands. Step 2 Apply DCT to L-L subband in order to remove redundancy. Step 3 Apply SVD to obtain the singular values of cover image SVC. Step 4 Manipulate the singular values of cover image SVC by adding the singular values of transformed image SVTW. Step 5 Obtain the final watermarked image by applying the inverse of SVD, DCT, and DWT techniques on the modified Extraction ProcessFigure 7 depicts the extraction process, which is the extraction of watermarks, biometric and signature from the cover image. The extraction is carried out as follows of Transformed watermark biometric Step 1 Apply DWT on the final watermark to obtain four subbands. Step 2 Apply DCT to L-L subband in order to remove redundancy. Step 3 Apply SVD to obtain the singular values of the final watermarked image SVFW. Step 4 To obtain the transformed watermark image, subtract the singular values of final watermarked image SVFW from the cover image singular values SVC. and divide the whole with the beta of signature watermark from transformed watermark biometric Step 1 Apply DWT on transformed watermark to obtain four subbands. Step 2 Apply DCT to L-L subband in order to remove redundancy. Step 3 Apply SVD to obtain the singular values of the transformed watermark. Step 4 To obtain a signature, subtract the singular values of transformed watermark SVTM from the biometric singular values SVB. and divide the whole with the alpha Experimental ResultsThe outcome of the projected technique discloses a hybrid combination of DWT-DCT-SVD that gives the best NC values along with good PSNR and SSIM. By applying DWT alone, the host image doesnât withstand a few attacks. So, by introducing DCT, it has the ability to pack most of the information in the fewest coefficients thereby reducing the redundancy between the neighboring pixels. By using SVD, it makes it easier to hide the image. This combination works for all sorts of attacks and also gives better Figure 8, a watermarked image of size 512 Ă 512 has been subjected to various watermarking attacks, including Gaussian low-pass filter, Median, Salt and Pepper noise, Speckle noise, JPEG compression, Sharpening attack, Histogram equalization, Average filter, Gaussian noise, JPEG2000 compression, and Motion blur. It was robust against all of these attacks. Figure 9 shows an extracted fingerprint of size 256 Ă 256. When the cover image is subjected to various watermarking attacks such as Gaussian low-pass filter, Median, Salt and Pepper noise, Speckle noise, JPEG compression, Sharpening attack, Histogram equalization, Average filter, Gaussian noise, JPEG2000 compression, and Motion blur. It is resistant to all of these Figure 10, the cover image is subjected to various watermarking attacks, such as the Gaussian low-pass filter, Median, Salt and Pepper noise, Speckle noise, JPEG compression, sharpening attack, Histogram equalization, Average filter, Gaussian noise, JPEG2000 compression, and Motion blur, an extracted signature of size 128 Ă 128 is displayed. It resisted all of these attacks. The graph of SSIM versus scaling factor α is shown in Figure 11. This graph depicts the behavior of SSIM values for various α values. Each line on the graph represents a different attack, such as a Gaussian low-pass filter, a Median, Salt and Pepper noise, Speckle noise, JPEG compression, sharpening attack, histogram equalization, an average filter, Gaussian noise, JPEG2000 compression, and motion graph of NC versus scaling factor α is shown in Figure 12. This graph depicts the behavior of NC values for various α values. Each line on the graph represents a different attack, such as a Gaussian low-pass filter, a median, salt and pepper noise, speckle noise, JPEG compression, sharpening attack, histogram equalization, an average filter, Gaussian noise, JPEG2000 compression, and motion blur. Figures 13a and 13b show a graph of PSNR versus different scaling factors α or ÎČ. This graph shows the behavior of PSNR values for different α or ÎČ values. A Gaussian low-pass filter, a Median, Salt and Pepper noise, Speckle noise, JPEG compression, sharpening attack, Histogram equalization, an Average filter, Gaussian noise, JPEG2000 compression, and Motion blur are all represented by lines on the graph. Figure 14 depicts graphs of NC values under various parameters subjected to various attacks. Each line in the graphs represents a different image size, such as 512 Ă 512, 256 Ă 256, and 128 Ă 128. The X-axis parameters are a quality factor, compression ratio, sigma, window size, variance, and strength 1- Threshold. The graph varies depending on the type of attack used.a b Table 1 shows Normalized Correlation NC values for biometric NCB and signature NCS under different types of attacks. The achieved results show better NC values for all the test cases even after the extraction of watermarks biometric and signature.Table 2 details the invisibility imperceptibility property of the watermark of the proposed watermarking scheme for different types of images. It clearly shows that the proposed algorithm for all seven images showcases an average PSNR value of and an average SSIM value of 3 depicts Peak Signal to Noise Ratio PSNR values for biometric PSNRB and signature PSNRS under different types of attacks. In the above-mentioned test cases, the results acquired are with good PSNR values even after the extraction of watermarks biometric and signature.Table 4 depicts Structural Similarity Index Metrics SSIM values for biometric SSIMB and signature SSIMS under different types of attacks. For all the above-mentioned test cases, the results achieved are with good SSIM values even after the extraction of watermarks viz, biometric, and 5 shows the NC values of various watermarked images host image where the two watermarks biometric and signature are embedded. The NC values are good enough to achieve the property of imperceptibility of both the watermarks. The table details that the proposed scheme shows comparatively good results on Lena image for crop, salt & pepper, and speckle attacks. The proposed scheme shows results on other attacks such as rotation and scaling attacks. For peppers image, the proposed scheme shows similar results to the related work [1]. It can be depicted from Table 5 that the proposed methodology DWT-DCT-SVD shows comparatively good results for all the 15 different types of attacks on Lena and Pepper ConclusionThis study extends a watermarking stratagem deployed on both transform DCT-DWT and spatial SVD domain methods. Watermarked image implementation has good PSNR, NC, and SSIM due to DCTâs energy compaction property and DWT has a better compression ratio. The results show that the proposed method besides being protective against attacks, and deployed method improves performance without sacrificing image information. The robustness of the projected watermarking strategy was assessed by performing attacks such as added noise, filtering attacks, geometrical attacks, and compression attacks. The deployed method was validated with regard to the imperceptibility of the watermarked image. The deployed method exhibits the experimental results which achieved an average PSNR of 40 dB value, an NC value of and an SSIM value of approximately In the future, more enhanced embedding techniques may be deployed to improve the standard of watermarked images meanwhile taking the flaws into account. In the future, this method can be improved by combining it with other watermarking techniques that are more conscientious and resistant to attack. The proposed method can embed a watermark into standard digital media such as audio, text, zip archives, and video, as well as holograms and 3D vector objects. This work can be expanded to conceal user data and personal AvailabilityThe dataset used for the findings can be obtained from the corresponding author upon reasonable of InterestThe authors declare that there are no conflicts of interest regarding the publication of this © 2022 Bhargavi Mokashi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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