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Digital Watermarking and Steganography
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TLDR
This new edition now contains essential information on steganalysis and steganography, and digital watermark embedding is given a complete update with new processes and applications.Abstract:
Digital audio, video, images, and documents are flying through cyberspace to their respective owners. Unfortunately, along the way, individuals may choose to intervene and take this content for themselves. Digital watermarking and steganography technology greatly reduces the instances of this by limiting or eliminating the ability of third parties to decipher the content that he has taken. The many techiniques of digital watermarking (embedding a code) and steganography (hiding information) continue to evolve as applications that necessitate them do the same. The authors of this second edition provide an update on the framework for applying these techniques that they provided researchers and professionals in the first well-received edition. Steganography and steganalysis (the art of detecting hidden information) have been added to a robust treatment of digital watermarking, as many in each field research and deal with the other. New material includes watermarking with side information, QIM, and dirty-paper codes. The revision and inclusion of new material by these influential authors has created a must-own book for anyone in this profession.
*This new edition now contains essential information on steganalysis and steganography
*New concepts and new applications including QIM introduced
*Digital watermark embedding is given a complete update with new processes and applicationsread more
Citations
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Journal ArticleDOI
A robust intelligent audio watermarking scheme using support vector machine
TL;DR: Experimental results showed better imperceptibility, higher robustness, lower payload, and higher operational efficiency, for the proposed method than for conventional techniques.
Book ChapterDOI
Scalability Evaluation of Blind Spread-Spectrum Image Watermarking
Peter Meerwald,Andreas Uhl +1 more
TL;DR: This paper develops two multi-channel watermarking schemes with blind detection, based on additive spread-spectrum watermarked: one employs the DCT domain, the other the DWT domain, and obtains watermark scalability by combining detection results from multiple channels modeled by Generalized Gaussian distributions.
Journal ArticleDOI
Blind MV-based video steganalysis based on joint inter-frame and intra-frame statistics
TL;DR: A 54-dimentional feature set exploiting spatio-temporal features of motion vectors to blindly detect MV-based stego videos and results have shown that the features’ performance far exceeds that of state-of-the-art steganalysis methods.
Book ChapterDOI
M-Identity and its authentication protocol for secure mobile commerce applications
Fengling Han,Ron van Schyndel +1 more
TL;DR: A concept of m-identity targeted at control the access of involved parties in an m-commerce transaction is proposed, which merges mobile device identity into biometrics images and a watermark is embedded in the captured biometric images.
Journal ArticleDOI
A robust digital audio watermarking using higher-order statistics
TL;DR: Simulation results show that the proposed watermarking scheme is not only inaudible and robust against common signal processing such as MP3 compression, noise addition, resampling, re-quantization, etc., but also robust against the desynchronization attacks such as random cropping, amplitude variation, pitch shifting, jittering, etc.
References
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