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Transactions on Data Hiding and Multimedia Security IV

  • Book
  • © 2009

Overview

Editors:
  1. Yun Q. Shi

    1. New Jersey Institute of Technology, Newark, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5510)

Part of the book sub series: Transactions on Data Hiding and Multimedia Security (TDHMS)

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Table of contents (5 chapters)

  1. Front Matter

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  2. How to Compare Image Watermarking Algorithms

    • Angela Piper, Reihaneh Safavi-Naini
    Pages 1-28

  3. A Desynchronization Resilient Watermarking Scheme

    • Xiaojun Qi, Ji Qi
    Pages 29-48

  4. Robust Watermarking in Slides of Presentations by Blank Space Coloring: A New Approach

    • Tsung-Yuan Liu, Wen-Hsiang Tsai
    Pages 49-64

  5. A Novel Least Distortion Linear Gain Model for Halftone Image Watermarking Incorporating Perceptual Quality Metrics

    • Weina Jiang, Anthony T. S. Ho, Helen Treharne
    Pages 65-83

  6. Optimum Histogram Pair Based Image Lossless Data Embedding

    • Guorong Xuan, Yun Q. Shi, Peiqi Chai, Jianzhong Teng, Zhicheng Ni, Xuefeng Tong
    Pages 84-102

  7. Back Matter

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Keywords

About this book

Since the mid 1990s, data hiding has been proposed as an enabling technology for securing multimedia communication, and is now used in various applications including broadcast monitoring, movie fingerprinting, steganography, video indexing and retrieval, and image authentication. Data hiding and cryptographic techniques are often combined to complement each other, thus triggering the development of a new research field of multimedia security. Besides, two related disciplines, steganalysis and data forensics, are increasingly attracting researchers and becoming another new research field of multimedia security. This journal, LNCS Transactions on Data Hiding and Multimedia Security, aims to be a forum for all researchers in these emerging fields, publishing both original and archival research results.

This fourth issue contains five contributions in the area of digital watermarking. The first three papers deal with robust watermarking. The fourth paper introduces a new least distortion linear gain model for halftone image watermarking and the fifth contribution presents an optimal histogram pair based image reversible data hiding scheme.

Editors and Affiliations

  • New Jersey Institute of Technology, Newark, USA

    Yun Q. Shi

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