A DWT-based fragile watermarking tolerant of JPEG compression

Junquan Hu, Jiwu Huang, Daren Huang, Yun Q. Shi

Research output: Chapter in Book/Report/Conference proceedingChapter

10 Scopus citations

Abstract

In this paper, we propose a novel DWT-based fragile watermarking scheme by exploiting the characteristics of the human visual system (HVS). Multi-resolution tamper detection and image fusion are applied to watermark detection and accurate tamper region location. To distinguish between incidental and malicious modifications, some effective rules are presented. Mathematical morphology operations are used to improve the detection performance. Experiment results demonstrate that the watermark is fragile to malicious tamper and robust against high quality lossy image compression.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsFabien A. P. Petitcolas, Hyoung Joong Kim
PublisherSpringer Verlag
Pages179-188
Number of pages10
ISBN (Print)3540012176, 9783540012177
DOIs
StatePublished - 2003

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2613
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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