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Author:   Fabien Petitcolas ,  Hyoung Joong Kim
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2003 ed.
Volume:   2613
Dimensions:   Width: 15.50cm , Height: 1.50cm , Length: 23.30cm
Weight:   0.890kg
ISBN:  

9783540012177

ISBN 10:   3540012176
Pages:   272
Publication Date:   07 April 2003
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Invited Talks.- Information-Hiding Games.- Informed Embedding for Multi-bit Watermarks.- Fundamentals I.- The Design and Application of DWT-Domain Optimum Decoders.- Enhanced Watermarking Scheme Based on Removal of Local Means.- New Algorithms.- A Multi-user Based Watermarking System with Two-Security-Level Keys.- A New Blind Watermarking Technique Based on Independent Component Analysis.- A New Collusion Attack and Its Performance Evaluation.- A Multistage VQ Based Watermarking Technique with Fake Watermarks.- Fundamentals II.- BER Formulation for the Blind Retrieval of MPEG Video Watermark.- Optimal Detection of Transform Domain Additive Watermark by Using Low Density Diversity.- Watermarking Unusual Content.- Implications for Image Watermarking of Recent Work in Image Analysis and Representation.- On Watermarking Numeric Sets.- Watermarking Techniques for Electronic Circuit Design.- Fragile Watermarking.- A SVD-Based Fragile Watermarking Scheme for Image Authentication.- A DWT-Based Fragile Watermarking Tolerant of JPEG Compression.- Robust Watermarking.- Robust Local Watermarking on Salient Image Areas.- Image Normalization Using Invariant Centroid for RST Invariant Digital Image Watermarking.- An Image Watermarking Algorithm Robust to Geometric Distortion.- Adaptive Watermarking.- Spatial Frequency Band Division in Human Visual System Based-Watermarking.- Two-Step Detection Algorithm in a HVS-Based Blind Watermarking of Still Images.- Content Adaptive Watermark Embedding in the Multiwavelet Transform Using a Stochastic Image Model.

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