Optimal histogram-pair and prediction-error based image reversible data hiding

Guorong Xuan, Xuefeng Tong, Jianzhong Teng, Xiaojie Zhang, Yun Qing Shi

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

31 Scopus citations

Abstract

This proposed scheme reversibly embeds data into image prediction-errors by using histogram-pair method with the following four thresholds for optimal performance: embedding threshold, fluctuation threshold, left- and right-histogram shrinking thresholds. The embedding threshold is used to select only those prediction-errors, whose magnitude does not exceed this threshold, for possible reversible data hiding. The fluctuation threshold is used to select only those prediction-errors, whose associated neighbor fluctuation does not exceed this threshold, for possible reversible data hiding. The left- and right-histogram shrinking thresholds are used to possibly shrink histogram from the left and right, respectively, by a certain amount for reversible data hiding. Only when all of four thresholds are satisfied the reversible data hiding is carried out. Different from our previous work, the image gray level histogram shrinking towards the center is not only for avoiding underflow and/or overflow but also for optimum performance. The required bookkeeping data are embedded together with pure payload for original image recovery. The experimental results on four popularly utilized test images (Lena, Barbara, Baboon, Airplane) and one of the JPEG2000 test image (Woman, whose histogram does not have zero points in the whole range of gray levels, and has peaks at its both ends) have demonstrated that the proposed scheme outperforms recently published reversible image data hiding schemes in terms of the highest PSNR of marked image verses original image at given pure payloads.

Original languageEnglish (US)
Title of host publicationDigital Forensics and Watermaking - 11th International Workshop, IWDW 2012, Revised Selected Papers
Pages368-383
Number of pages16
DOIs
StatePublished - Sep 3 2013
Event11th International Workshop on Digital Forensics and Watermaking, IWDW 2012 - Shanghai, China
Duration: Oct 31 2012Nov 3 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7809 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other11th International Workshop on Digital Forensics and Watermaking, IWDW 2012
CountryChina
CityShanghai
Period10/31/1211/3/12

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Keywords

  • Reversible image data hiding
  • gray level histogram modification
  • histogram pair scheme
  • neighborhood fluctuation
  • prediction error

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