Image fragile watermarking based on fusion of multi-resolution tamper detection

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

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

A new discrete wavelet transform-based image fragile watermarking scheme exploiting the features of the human visual system is presented. Fusion of multi-resolution tamper detections, and mathematical morphology operations are developed for accurate tamper detection. As a result, malicious tamper and the tampered regions can be detected, while toleration towards high quality lossy image compression is achieved.

Original languageEnglish (US)
Pages (from-to)1512-1513
Number of pages2
JournalElectronics Letters
Volume38
Issue number24
DOIs
StatePublished - Nov 21 2002

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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