Multipurpose image watermarking based on the wavelet tree contrast level transformation

Min-Jen Tsai*, Chang Hsing Shen, Jung Liu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Multipurpose image watermarking algorithms can achieve the goal of content authentication and copyright protection simultaneously. In this paper, we propose a wavelet tree based blind watermarking algorithm using contrast level transformation. The wavelet coefficients of the host image are grouped into trees. The robust watermark and the semifragile watermark are embedded by quantizing one tree and resetting the other. With level change compensation, the watermarked image has high fidelity to the original one since the difference is minimized. Both of the watermarks can be independently extracted without the original image. The simulation results have demonstrated the effectiveness of the proposed algorithm in terms of robustness compared with other wavelet tree based technique.

Original languageEnglish
Title of host publicationProceedings - 2009 IEEE International Conference on Communications, ICC 2009
DOIs
StatePublished - 19 Nov 2009
Event2009 IEEE International Conference on Communications, ICC 2009 - Dresden, Germany
Duration: 14 Jun 200918 Jun 2009

Publication series

NameIEEE International Conference on Communications
ISSN (Print)0536-1486

Conference

Conference2009 IEEE International Conference on Communications, ICC 2009
Country/TerritoryGermany
CityDresden
Period14/06/0918/06/09

Keywords

  • Copyright protection
  • Quantization
  • Wavelet

Fingerprint

Dive into the research topics of 'Multipurpose image watermarking based on the wavelet tree contrast level transformation'. Together they form a unique fingerprint.

Cite this