Relevant bibliographies by topics / Adaptive watermarking

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Adaptive watermarking'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Adaptive watermarking"

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ZHANG, FAN, and HONGBIN ZHANG. "DIGITAL IMAGE WATERMARKING CAPACITY ANALYSIS." International Journal of Information Acquisition 02, no. 01 (March 2005): 55–61. http://dx.doi.org/10.1142/s0219878905000428.

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In watermarking schemes, image can be considered as a communication channel to transmit messages. This paper presents a new adaptive capacity analysis scheme for image watermarking, realizes a content adaptive watermarking algorithm invisibly embedding the strongest watermark, and discusses the watermarking capacity of blind watermarking and non-blind watermarking. This paper also analyzes the relation between watermarking capacity and watermarking detection bit error rate (BER), and derives the relation between capacity and the limit of BER. According to the result of research, watermarking detection BER mainly influenced by the watermarking average energy and watermarking capacity. The BER rises with the increase of watermarking capacity.
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Dragoi, Ioan-Catalin, and Dinu Coltuc. "Adaptive Pairing Reversible Watermarking." IEEE Transactions on Image Processing 25, no. 5 (May 2016): 2420–22. http://dx.doi.org/10.1109/tip.2016.2549458.

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Qi, Wenfa, Yuxin Liu, Sirui Guo, Xiang Wang, and Zongming Guo. "An Adaptive Visible Watermark Embedding Method based on Region Selection." Security and Communication Networks 2021 (March 3, 2021): 1–11. http://dx.doi.org/10.1155/2021/6693343.

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Aiming at the problem that the robustness, visibility, and transparency of the existing visible watermarking technologies are difficult to achieve a balance, this paper proposes an adaptive embedding method for visible watermarking. Firstly, the salient region of the host image is detected based on superpixel detection. Secondly, the flat region with relatively low complexity is selected as the embedding region in the nonsalient region of the host image. Then, the watermarking strength is adaptively calculated by considering the gray distribution and image texture complexity of the embedding region. Finally, the visible watermark image is adaptively embedded into the host image with slight adjustment by just noticeable difference (JND) coefficient. The experimental results show that our proposed method improves the robustness of visible watermarking technology and greatly reduces the risk of malicious removal of visible watermark image. Meanwhile, a good balance between the visibility and transparency of the visible watermark image is achieved, which has the advantages of high security and ideal visual effect.
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Feng, Gui, and Yi Min Yang. "Adaptive DCT Based Digital Watermarking Scheme." Applied Mechanics and Materials 20-23 (January 2010): 1136–42. http://dx.doi.org/10.4028/www.scientific.net/amm.20-23.1136.

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The paper proposes an adaptive digital watermarking scheme based on chaos sequence and DCT transform. The scheme can choose the location for watermark inserting adaptively, and properly assign the embedding intensity in different inserting locations according to the characteristic of human visual system (HVS). On the other hand, this scheme combines chaos sequence and scrambling technique to improve the ability to withstand various attacks. The experimental results show that, the method can basically satisfy transparency and robustness requirement.
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Yu, Chuying, Xiaowei Li, Xinan Chen, and Jianzhong Li. "An Adaptive and Secure Holographic Image Watermarking Scheme." Entropy 21, no. 5 (May 2, 2019): 460. http://dx.doi.org/10.3390/e21050460.

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A novel adaptive secure holographic image watermarking method in the sharp frequency localized contourlet transform (SFLCT) domain is presented. Based upon the sine logistic modulation map and the logistic map, we develop an encrypted binary computer-generated hologram technique to fabricate a hologram of a watermark first. Owing to the enormous key space of the encrypted hologram, the security of the image watermarking system is increased. Then the hologram watermark is embedded into the SFLCT coefficients with Schur decomposition. To obtain better imperceptibility and robustness, the entropy and the edge entropy are utilized to select the suitable watermark embedding positions adaptively. Compared with other watermarking schemes, the suggested method provides a better performance with respect to both imperceptibility and robustness. Experiments show that our watermarking scheme for images is not only is secure and invisible, but also has a stronger robustness against different kinds of attack.
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Chen, Chien-Chang, and Yao-Hong Tsai. "Adaptive reversible image watermarking scheme." Journal of Systems and Software 84, no. 3 (March 2011): 428–34. http://dx.doi.org/10.1016/j.jss.2010.11.891.

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Hu, Yongjian, and Sam Kwong. "Wavelet domain adaptive visible watermarking." Electronics Letters 37, no. 20 (2001): 1219. http://dx.doi.org/10.1049/el:20010838.

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Song, Haohao, Songyu Yu, Xiaokang Yang, Li Song, and Chen Wang. "Contourlet-based image adaptive watermarking." Signal Processing: Image Communication 23, no. 3 (March 2008): 162–78. http://dx.doi.org/10.1016/j.image.2008.01.005.

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Liu, Tao. "A Kind of DWT Domain Image Digital Watermarking Algorithm Research." Advanced Materials Research 1044-1045 (October 2014): 991–94. http://dx.doi.org/10.4028/www.scientific.net/amr.1044-1045.991.

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An image-adaptive watermarking algorithm based on wavelet transform was proposed. At first, A digital image used as watermarking was scrambled. Next, the original image was decomposed by discrete wavelet transform,and in accordance with the characteristics of human visual system, wavelet decomposition in the low-frequency domain, Methods which average of adjacent domain instead of single wavelet decomposition coefficients was used to estimate and quantitative, watermarking was adaptively embedded in wavelet coefficients of low-frequency domain. At last, the simulation experimental results show that the algorithm for a variety of conventional image processing has good robustness.
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Senthilkumar, M., and PS Periasamy. "Contourlet transform and adaptive neuro-fuzzy strategy–based color image watermarking." Measurement and Control 53, no. 3-4 (January 6, 2020): 287–95. http://dx.doi.org/10.1177/0020294019878873.

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In the today Internet era, protection of digital content during transmission is an indigent. Alphanumeric watermarking is a resolution to the copyright defense than the endorsement of information into the system. In exhibit watermarking calculation, wellbeing of such watermarking process is moderately low. For expanding the soundness, an approach is presented, which is contourlet change with neuro-fuzzy-based watermark inserting process. The conventional approaches having loss during data recovery, this situation will be resolved using proposed watermarking scheme and also increase the security of watermarked image. The proposed color image watermarking scheme binary image is embedded over the shading image which utilizes contourlet and converse contourlet calculation for preprocessing of an image and neuro-fuzzy calculation to implant the bits in the green plane of an image. After completing the watermarking process, the results are analyzing using the quality assessment metrics like Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE) etc., It is implemented using MATLAB R2013 software. The developed MATLAB code is converted into Hardware Description Language (HDL) and then implemented for Virtex-5 L110T Field Programmable Gate Array (FPGA) kit.
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Dissertations / Theses on the topic "Adaptive watermarking"

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Song, Chunlin. "A robust region-adaptive digital image watermarking system." Thesis, Liverpool John Moores University, 2012. http://researchonline.ljmu.ac.uk/6122/.

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Digital image watermarking techniques have drawn the attention of researchers and practitioners as a means of protecting copyright in digital images. The technique involves a subset of information-hiding technologies, which work by embedding information into a host image without perceptually altering the appearance of the host image. Despite progress in digital image watermarking technology, the main objectives of the majority of research in this area remain improvements in the imperceptibility and robustness of the watermark to attacks. Watermark attacks are often deliberately applied to a watermarked image in order to remove or destroy any watermark signals in the host data. The purpose of the attack is. aimed at disabling the copyright protection system offered by watermarking technology. Our research in the area of watermark attacks found a number of different types, which can be classified into a number of categories including removal attacks, geometry attacks, cryptographic attacks and protocol attacks. Our research also found that both pixel domain and transform domain watermarking techniques share similar levels of sensitivity to these attacks. The experiment conducted to analyse the effects of different attacks on watermarked data provided us with the conclusion that each attack affects the high and low frequency part of the watermarked image spectrum differently. Furthermore, the findings also showed that the effects of an attack can be alleviated by using a watermark image with a similar frequency spectrum to that of the host image. The results of this experiment led us to a hypothesis that would be proven by applying a watermark embedding technique which takes into account all of the above phenomena. We call this technique 'region-adaptive watermarking'. Region-adaptive watermarking is a novel embedding technique where the watermark data is embedded in different regions of the host image. The embedding algorithms use discrete wavelet transforms and a combination of discrete wavelet transforms and singular value decomposition, respectively. This technique is derived from the earlier hypothesis that the robustness of a watermarking process can be improved by using watermark data in the frequency spectrum that are not too dissimilar to that of the host data. To facilitate this, the technique utilises dual watermarking technologies and embeds parts of the watermark images into selected regions of the host image. Our experiment shows that our technique improves the robustness of the watermark data to image processing and geometric attacks, thus validating the earlier hypothesis. In addition to improving the robustness of the watermark to attacks, we can also show a novel use for the region-adaptive watermarking technique as a means of detecting whether certain types of attack have occurred. This is a unique feature of our watermarking algorithm, which separates it from other state-of-the-art techniques. The watermark detection process uses coefficients derived from the region-adaptive watermarking algorithm in a linear classifier. The experiment conducted to validate this feature shows that, on average, 94.5% of all watermark attacks can be correctly detected and identified.
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Qi, Huiyan. "Human visual system based adaptive digital image watermarking." Thesis, University of Ottawa (Canada), 2006. http://hdl.handle.net/10393/27287.

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It is known that the fidelity of the image is inversely proportional to the robustness of the watermark. Therefore, there should be the trade off between fidelity for robustness and vise versa. Based on the new spatial masking we explored in this thesis, a new adaptive digital image watermarking method is proposed. It keeps the invisibility of the watermark and maintains its robustness at the same time. The new spatial masking is built according to the image features such as flat areas with big brightness or darkness, edges, and regions with high activities. With the same watermarking energy, the quality of water-marked image with this masking is much better than the one without it. We also propose using the weighted Peak Signal-to-Noise Ratio (wPSNR) to evaluate the image quality. The watermark is detected by the key-dependent method without knowing the original image information. In addition, we extend this proposed spatial masking to the Discrete Cosine Transform (DCT) domain by using the method of searching the extreme value of the quadratic function subject to the bounds on the variables.
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Chen, Bingwei. "Adaptive watermarking algorithms for MP3 compressed audio signals." Thesis, University of Ottawa (Canada), 2008. http://hdl.handle.net/10393/27963.

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MPEG-1 Layer 3, known as MP3, has generated a significant popularity for distributing digital music over the Internet. MP3 compresses digital music with high ratio while keeping high sound quality. However, copyright issue is raised because of illegal copy, redistribution and various malicious attacks. Digital watermarking is a technology that allows users to embed some imperceptible data into digital contents such as image, movie and audio data. Once a watermark is embedded into the original MP3 signal, it can be used to identify the copyright holder in order to prevent illegal copy and to verify the modification from the original content. This thesis presents two novel adaptive watermarking algorithms for MP3 compressed audio signals for copyright protection. Based on Human Auditory System, the proposed algorithms calculate the energy of the original audio signal and apply Gaussian analysis on MP3 frames to adaptively adjust the watermarking coefficients. Watermark is embedded adaptively and transparently during the MP3 compression. The first watermarking algorithm detects watermark based on Gaussian distribution analysis. To enhance the security of the watermark, the second watermarking algorithm embeds random watermark pattern and uses correlation coefficient to detect watermark. Both algorithms support blind watermark detection and perform well. The first algorithm is more robust while the second algorithm is more secure. LAME 3.96.2 open source was used as standard ISO MP3 encoder and decoder reference in this study. The experimental results show that the proposed watermarking algorithms can work on a variety of audio signals and survive most common signal manipulation and malicious attacks. As expected, the watermarking algorithms provide superior performance on MP3 compression.
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Wang, Sha. "Digital Watermarking Based Image and Video Quality Evaluation." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/23988.

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Image and video quality evaluation is very important. In applications involving signal transmission, the Reduced- or No-Reference quality metrics are generally more practical than the Full-Reference metrics. Digital watermarking based quality evaluation emerges as a potential Reduced- or No-Reference quality metric, which estimates signal quality by assessing the degradation of the embedded watermark. Since the watermark contains a small amount of information compared to the cover signal, performing accurate signal quality evaluation is a challenging task. Meanwhile, the watermarking process causes signal quality loss. To address these problems, in this thesis, a framework for image and video quality evaluation is proposed based on semi-fragile and adaptive watermarking. In this framework, adaptive watermark embedding strength is assigned by examining the signal quality degradation characteristics. The "Ideal Mapping Curve" is experimentally generated to relate watermark degradation to signal degradation so that the watermark degradation can be used to estimate the quality of distorted signals. With the proposed framework, a quantization based scheme is first implemented in DWT domain. In this scheme, the adaptive watermark embedding strengths are optimized by iteratively testing the image degradation characteristics under JPEG compression. This iterative process provides high accuracy for quality evaluation. However, it results in relatively high computational complexity. As an improvement, a tree structure based scheme is proposed to assign adaptive watermark embedding strengths by pre-estimating the signal degradation characteristics, which greatly improves the computational efficiency. The SPIHT tree structure and HVS masking are used to guide the watermark embedding, which greatly reduces the signal quality loss caused by watermark embedding. Experimental results show that the tree structure based scheme can evaluate image and video quality with high accuracy in terms of PSNR, wPSNR, JND, SSIM and VIF under JPEG compression, JPEG2000 compression, Gaussian low-pass filtering, Gaussian noise distortion, H.264 compression and packet loss related distortion.
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Sakr, Nizar. "Adaptive digital image watermarking based on predictive embedding and a dynamic fuzzy inference system model." Thesis, University of Ottawa (Canada), 2006. http://hdl.handle.net/10393/27171.

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A novel image watermarking scheme is introduced that consists of an adaptive watermarking algorithm based on a model of the Human Visual System (HVS) and a Dynamic Fuzzy Inference System (DFIS). This scheme relies on the DFIS to extract the human eye sensitivity knowledge using the HVS model. The DFIS and the HVS combined are used to adjust and select the appropriate watermark length as well as the watermarking strength for each pixel in an image. The main goal of the algorithm is to provide a more robust and imperceptible watermark. The primary contribution of this work is to present a unique approach to perform image-adaptive watermarking by introducing a dynamic fuzzy logic technique. This logic relies on the statistical distributions of the HVS-generated data in order to accurately approximate the relationship found between all properties of the human perceptual system. In addition, we introduce a Predictive Watermark Embedding (PWE) algorithm that exploits the average power of the frequency-domain image coefficients as well as the aforementioned DFIS model in order to insure that the watermark insertion process is adaptively and accurately performed in lower-frequency components and significant DCT coefficients. (Abstract shortened by UMI.)
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Dang, Hieu. "Adaptive multiobjective memetic optimization: algorithms and applications." Journal of Cognitive Informatics and Natural Intelligence, 2012. http://hdl.handle.net/1993/30856.

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The thesis presents research on multiobjective optimization based on memetic computing and its applications in engineering. We have introduced a framework for adaptive multiobjective memetic optimization algorithms (AMMOA) with an information theoretic criterion for guiding the selection, clustering, and local refinements. A robust stopping criterion for AMMOA has also been introduced to solve non-linear and large-scale optimization problems. The framework has been implemented for different benchmark test problems with remarkable results. This thesis also presents two applications of these algorithms. First, an optimal image data hiding technique has been formulated as a multiobjective optimization problem with conflicting objectives. In particular, trade-off factors in designing an optimal image data hiding are investigated to maximize the quality of watermarked images and the robustness of watermark. With the fixed size of a logo watermark, there is a conflict between these two objectives, thus a multiobjective optimization problem is introduced. We propose to use a hybrid between general regression neural networks (GRNN) and the adaptive multiobjective memetic optimization algorithm (AMMOA) to solve this challenging problem. This novel image data hiding approach has been implemented for many different test natural images with remarkable robustness and transparency of the embedded logo watermark. We also introduce a perceptual measure based on the relative Rényi information spectrum to evaluate the quality of watermarked images. The second application is the problem of joint spectrum sensing and power control optimization for a multichannel, multiple-user cognitive radio network. We investigated trade-off factors in designing efficient spectrum sensing techniques to maximize the throughput and minimize the interference. To maximize the throughput of secondary users and minimize the interference to primary users, we propose a joint determination of the sensing and transmission parameters of the secondary users, such as sensing times, decision threshold vectors, and power allocation vectors. There is a conflict between these two objectives, thus a multiobjective optimization problem is used again in the form of AMMOA. This algorithm learns to find optimal spectrum sensing times, decision threshold vectors, and power allocation vectors to maximize the averaged opportunistic throughput and minimize the averaged interference to the cognitive radio network.
February 2016
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Al-Nu'aimi, Abdallah S. N. A. "Design, Implementation and Performance Evaluation of Robust and Secure Watermarking Techniques for Digital Coloured Images. Designing new adaptive and robust imaging techniques for embedding and extracting 2D watermarks in the spatial and transform domain using imaging and signal processing techniques." Thesis, University of Bradford, 2009. http://hdl.handle.net/10454/4255.

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The tremendous spreading of multimedia via Internet motivates the watermarking as a new promising technology for copyright protection. This work is concerned with the design and development of novel algorithms in the spatial and transform domains for robust and secure watermarking of coloured images. These algorithms are adaptive, content-dependent and compatible with the Human Visual System (HVS). The host channels have the ability to host a large information payload. Furthermore, it has enough capacity to accept multiple watermarks. Abstract This work achieves several contributions in the area of coloured images watermarking. The most challenging problem is to get a robust algorithm that can overcome geometric attacks, which is solved in this work. Also, the search for a very secure algorithm has been achieved via using double secret keys. In addition, the problem of multiple claims of ownership is solved here using an unusual approach. Furthermore, this work differentiates between terms, which are usually confusing the researchers and lead to misunderstanding in most of the previous algorithms. One of the drawbacks in most of the previous algorithms is that the watermark consists of a small numbers of bits without strict meaning. This work overcomes this weakness III in using meaningful images and text with large amounts of data. Contrary to what is found in literature, this work shows that the green-channel is better than the blue-channel to host the watermarks. A more general and comprehensive test bed besides a broad band of performance evaluation is used to fairly judge the algorithms.
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Al-Nu'aimi, Abdallah Saleem Na. "Design, implementation and performance evaluation of robust and secure watermarking techniques for digital coloured images : designing new adaptive and robust imaging techniques for embedding and extracting 2D watermarks in the spatial and transform domain using imaging and signal processing techniques." Thesis, University of Bradford, 2009. http://hdl.handle.net/10454/4255.

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The tremendous spreading of multimedia via Internet motivates the watermarking as a new promising technology for copyright protection. This work is concerned with the design and development of novel algorithms in the spatial and transform domains for robust and secure watermarking of coloured images. These algorithms are adaptive, content-dependent and compatible with the Human Visual System (HVS). The host channels have the ability to host a large information payload. Furthermore, it has enough capacity to accept multiple watermarks. Abstract This work achieves several contributions in the area of coloured images watermarking. The most challenging problem is to get a robust algorithm that can overcome geometric attacks, which is solved in this work. Also, the search for a very secure algorithm has been achieved via using double secret keys. In addition, the problem of multiple claims of ownership is solved here using an unusual approach. Furthermore, this work differentiates between terms, which are usually confusing the researchers and lead to misunderstanding in most of the previous algorithms. One of the drawbacks in most of the previous algorithms is that the watermark consists of a small numbers of bits without strict meaning. This work overcomes this weakness III in using meaningful images and text with large amounts of data. Contrary to what is found in literature, this work shows that the green-channel is better than the blue-channel to host the watermarks. A more general and comprehensive test bed besides a broad band of performance evaluation is used to fairly judge the algorithms.
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Uliani, Neto Mario. "Equalização e identificação adaptativas utilizando marca d'agua como sinal de supervisão." [s.n.], 2008. http://repositorio.unicamp.br/jspui/handle/REPOSIP/259283.

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Orientadores: João Marcos Travassos Romano, Leandro de Campos Teixeira Gomes
Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação
Made available in DSpace on 2018-08-10T02:05:39Z (GMT). No. of bitstreams: 1 UlianiNeto_Mario_M.pdf: 12916890 bytes, checksum: 53ed98252c8c6c265c985346ceaeec4f (MD5) Previous issue date: 2008
Resumo: O objetivo deste trabalho é investigar o uso de uma marca d'água digital como sinal de referência na filtragem adaptativa supervisionada, aplicada aos problemas de equalização e identificação de canais. Ao contrário de métodos mais tradicionais, nos quais a comunicação é periodicamente interrompida para a transmissão de seqüências de treinamento, uma marca d'água é transmitida ininterruptamente, juntamente com o sinal de informação. Através da comparação entre o sinal recebido processado pelo filtro equalizador e a marca d'água original, ou entre o sinal recebido e a marca d' água processada pelo filtro identificador, os coeficientes deste filtro são continuamente adaptados para estimar e rastrear as características do canal ao longo do tempo. Tanto a transmissão de informação útil como a adaptação do filtro equalizador/identificador nunca são interrompidas. Para que o processo de detecção de uma marca d'água digital seja eficiente, é necessária a sincronização da marca no detector. Efeitos de dessincron}zação podem prejudicar a detecção, potencialmente inviabilizando a extração adequada da informação contida na marca d'água. Esta dissertação apresenta dois métodos de ressincronização para sistemas de filtragem empregando marca d'água. Ambos os métodos são baseados no uso de seqüências de treinamento embutidas na marca d'água e revertem os efeitos de uma ampla classe de ataques de dessincronização. No caso de sinais que apresentem uma interpretação sensorial (e.g. áudio, imagens, vídeo), a adição da marca d'água não deve causar distorção perceptível no sinal original. Propomos o uso de um modelo psicoacústico em conjunto com um algoritmo de conformação espectral para demonstrar a viabilidade do método quando aplicado a sinais de áudio. Resultados de simulações computacionais são apresentados para evidenciar o desempenho das propostas fr_nte a técnicas tradicionais de filtragem adaptativa supervisionada
Abstact: The objective of this work is to investigate the use of a digital watermark as a reference signal in supervised adaptive filtering, applied to the channel equalization and identification problems. Contrary to traditional adaptive methods, in which communication is periodically interrupted for the transmission of training sequences, a watermark is transmitted uninterruptedly, along with the information signal. By comparing the received signal and the watermark processed by the identification filter, or the received signal processed by the equalization filter and the original watermark, the coefficients of this filter are continuously adapted to estimate and monitor channel characteristics through time. Both the transmission of useful information and the adaptation of the identification/equalization filter are never interrupted. For the watermark detection process to be efficient, synchronization of the watermark in the detector is required. Desynchronization effects can reduce detection performance, potentially making impracticable the appropriate extraction of the information contained in the watermark. This dissertation presents two resynchronization methods for filtering systems using a watermark. Both methods are based on training sequences that are embedded in the watermark, and can reverse the effects of a large class of desynchronization attacks. The embedding of a watermark into signals with sensorial interpretation (e.g. audio, image, video) should not introduce noticeable distortion in the original signal. To achieve this when applying our method to audio signals, we propose the use of a psychoacoustic model with a spectral shaping algorithm. Simulation results are presented to illustrate the performance of the proposed method when compared to traditional supervised adaptive filtering techniques
Mestrado
Telecomunicações e Telemática
Mestre em Engenharia Elétrica
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Su, Jun-Min, and 蘇俊銘. "An Adaptive Watermarking Technique." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/31253085829822073466.

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Book chapters on the topic "Adaptive watermarking"

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Kang, Xiangui, Jiwu Huang, Yun Q. Shi, and Jianxiang Zhu. "Robust Watermarking with Adaptive Receiving." In Digital Watermarking, 396–407. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24624-4_31.

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Shirvanian, Maliheh, and Farah Torkamani Azar. "Adaptive SVD-Based Digital Image Watermarking." In Digital Watermarking, 113–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04438-0_10.

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Barbier, Johann, and Emmanuel Mayer. "Non-malleable Schemes Resisting Adaptive Adversaries." In Digital Watermarking, 240–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04438-0_21.

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Karabat, Cagatay. "Adaptive Threshold Based Robust Watermark Detection Method." In Digital Watermarking, 139–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04438-0_12.

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Lin, Yiqing, and Waleed H. Abdulla. "Multiple Scrambling and Adaptive Synchronization for Audio Watermarking." In Digital Watermarking, 440–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-92238-4_34.

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Kong, Xiangwei, Yu Liu, and Huajian Liu. "Adaptive Video Watermarking Scheme." In Advances in Multimedia Information Processing — PCM 2001, 933–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45453-5_124.

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Park, Hyun, Sung Hyun Lee, and Young Shik Moon. "Adaptive Video Watermarking Utilizing Video Characteristics in 3D-DCT Domain." In Digital Watermarking, 397–406. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11922841_32.

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Johnson, Benjamin, Pascal Schöttle, Aron Laszka, Jens Grossklags, and Rainer Böhme. "Bitspotting: Detecting Optimal Adaptive Steganography." In Digital-Forensics and Watermarking, 3–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-43886-2_1.

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Lin, Xu, Bingwen Feng, Wei Lu, and Wei Sun. "Content-Adaptive Residual for Steganalysis." In Digital-Forensics and Watermarking, 389–98. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19321-2_29.

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Kwon, Ki-Ryong, Seong-Geun Kwon, Je-Ho Nam, and Ahmed H. Tewfik. "Content Adaptive Watermark Embedding in the Multiwavelet Transform Using a Stochastic Image Model." In Digital Watermarking, 249–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36617-2_21.

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Conference papers on the topic "Adaptive watermarking"

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Oostveen, Job C., Ton Kalker, and Marius Staring. "Adaptive quantization watermarking." In Electronic Imaging 2004, edited by Edward J. Delp III and Ping W. Wong. SPIE, 2004. http://dx.doi.org/10.1117/12.526586.

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Reed, Alastair M., and Brett T. Hannigan. "Adaptive color watermarking." In Electronic Imaging 2002, edited by Edward J. Delp III and Ping W. Wong. SPIE, 2002. http://dx.doi.org/10.1117/12.465279.

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3

Neto, Mario Uliani, Leandro de C. T. Gomes, Joao Marcos T. Romano, and Madeleine Bonn. "Adaptive equalization based on watermarking." In ITS '07. 2007 International Telecommunications Symposium. IEEE, 2006. http://dx.doi.org/10.1109/its.2006.4433371.

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4

Yang Feng and Tan Kai. "An adaptive video watermarking algorithm." In 2012 International Symposium on Information Technology in Medicine and Education (ITME 2012). IEEE, 2012. http://dx.doi.org/10.1109/itime.2012.6291460.

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5

Hong-mei Liu, Ji-wu Huang, and Zi-mei Xiao. "An adaptive video watermarking algorithm." In IEEE International Conference on Multimedia and Expo, 2001. ICME 2001. IEEE, 2001. http://dx.doi.org/10.1109/icme.2001.1237688.

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Elrefaey, Lamiaa A., Mahmoud E. Allam, Hala A. Kader, and Mazen Selim. "Robust blind image-adaptive watermarking." In 2008 National Radio Science conference (NRSC). IEEE, 2008. http://dx.doi.org/10.1109/nrsc.2008.4542331.

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Feng, Gui, and Qiwei Lin. "Adaptive color image watermarking algorithm." In International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, edited by Liwei Zhou. SPIE, 2007. http://dx.doi.org/10.1117/12.791517.

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8

Liu, Yuxin, Bin Ni, Xiaojun Feng, and Edward J. Delp III. "LOT-based adaptive image watermarking." In Electronic Imaging 2004, edited by Edward J. Delp III and Ping W. Wong. SPIE, 2004. http://dx.doi.org/10.1117/12.527291.

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9

Hui, Chen, Shaohui Liu, Wenxue Cui, Jinghua Zeng, Feng Jiang, and Debin Zhao. "Adaptive Flexible 3D Histogram Watermarking." In 2021 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2021. http://dx.doi.org/10.1109/icme51207.2021.9428143.

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10

Pansare, Jayshree R., and Karan S. Shah. "Effective adaptive watermarking system: AWS." In SEVENTH INTERNATIONAL SYMPOSIUM ON NEGATIVE IONS, BEAMS AND SOURCES (NIBS 2020). AIP Publishing, 2021. http://dx.doi.org/10.1063/5.0058069.

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