Robust watermarking with adaptive receiving

Xiangui Kang, Jiwu Huang, Yun Q. Shi, Jianxiang Zhu

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Scopus citations

Abstract

This paper presents a watermarking scheme with enhanced robustness owing to adaptive receiving and turbo code in addition to other measures. We embed a training sequence with informative watermark in the original image. A new adaptive receiver is developed, which is adjusted adaptively according to the responsive distribution of the training sequence. Together with carefully designed data embedding techniques, concatenated coding of direct sequence spread spectrum (DSSS) and Turbo code, 2-D interleaving, our newly developed resynchronization technique and incorporated with the registration technique based on motion estimation technique developed by Loo and Kinsbury, our proposed algorithm can successfully resist almost all the StirMark testing functions including both common signal processing, such as JPEG compression and median filtering, and geometric distortions. The watermarking is robust against the combination of geometric distortion and JPEG_10, the combination of large global distortion and arbitrary local small distortion. To our best knowledge, we use adaptive receiving to combat the fading of host media feature (watermark carrier) for the first time.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsTon Kalker, Ingemar J. Cox, Yong Man Ro
PublisherSpringer Verlag
Pages396-407
Number of pages12
ISBN (Print)354021061X
DOIs
StatePublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2939
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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