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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
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Book ChapterDOI
A Recent Survey on Information-Hiding Techniques
Jayant Shukla,Madhu Shandilya +1 more
TL;DR: This paper explores the use of information-hiding techniques and some recent surveys on information-Hiding techniques with respect to size of hide data and peak signal to noise ratio.
Journal ArticleDOI
Security analysis of a key based color image watermarking vs. a non-key based technique in telemedicine applications
TL;DR: Two targeted attacks have been proposed against a key based color image watermarking scheme and also a non-key based one, in order to evaluate their security in telemedicine applications, and to show the vulnerabilities of water marking schemes inorder to help the designers to implement more secure schemes.
Journal ArticleDOI
Traitor tracing over YouTube video service--proof of concept
TL;DR: The experiments show that if the watermarking algorithm is carefully configured and the fingerprints are correctly chosen, the traitor, or a member of a set of traitors who have performed a collusion attack, can be found from a pirate video uploaded to the YouTube service.
Book ChapterDOI
Particle Swarm Optimization for Digital Image Watermarking
TL;DR: An optimal algorithm for image watermarking is proposed that embeds the watermark by quantizing the wavelet packets coefficients of the image by quantization of sub-bands coefficients.
Proceedings ArticleDOI
Deep Convolutional Network for Steganalysis of HUGO, WOW, and UNIWARD algorithms
K. Lichy,P. Lipinski,M. Grzelak +2 more
TL;DR: In this paper, a convolutional neural network (CNN) architecture was proposed for image steganalysis. And the experimental results show that the resultant CNN, which was trained on such a large dataset, outperforms state-of-the-art steganization algorithms in terms of total error rate.
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