Optimum histogram pair based image lossless data embedding

Guorong Xuan, Yun Q. Shi, Peiqi Chai, Xia Cui, Zhicheng Ni, Xuefeng Tong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

62 Scopus citations

Abstract

This paper presents an optimum histogram pair based image lossless data embedding scheme using integer wavelet transform and adaptive histogram modification. This new scheme is characterized by (1) the selection of best threshold T, which leads to the highest PSNR of the marked image for a given payload, (2) the adaptive istogram modification, which aims at avoiding underflow and/or overflow, is carried out only when it is necessary, and treats the left side and the right side of histogram individually, seeking a minimum amount of histogram modification, and (3) the selection of most suitable embedding region, which attempts to further improve the PSNR of the marked image in particular when the payload is low. Consequently, it can achieve the highest visual quality of marked image for a given payload as compared with the prior arts of image lossless data hiding. The experimental results have been presented to confirm the claimed superior performance.

Original languageEnglish (US)
Title of host publicationDigital Watermarking - 6th International Workshop, IWDW 2007, Proceedings
Pages264-278
Number of pages15
DOIs
StatePublished - 2008
Event6th International Workshop on Digital Watermarking, IWDW 2007 - Guangzhou, China
Duration: Dec 3 2007Dec 5 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5041 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th International Workshop on Digital Watermarking, IWDW 2007
Country/TerritoryChina
CityGuangzhou
Period12/3/0712/5/07

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

Keywords

  • Adaptive histogram modification
  • Integer wavelets
  • Lossless data embedding
  • Optimum histogram pair
  • Selection of best threshold

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