Histogram-pair based reversible data hiding via searching for optimal four thresholds

Guorong Xuan, Xiaolong Li, Yun Qing Shi

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

A histogram-pair based image reversible data hiding (RDH) scheme is presented in this paper. It embeds data into the prediction-errors generated from a cover image. In doing so, instead of changing a prediction-error x to 2x + b as done in most existing RDH algorithms, where b is a to-be-embedded binary bit, we modify the quantity x to x + b so as to reduce the embedding distortion. Moreover, four thresholds, i.e., the embedding threshold, the fluctuation threshold, the right- and the left-end histogram shrinking thresholds, are employed and adjusted to achieve the highest PSNR at a given embedding rate. The experimental results have demonstrated that, comparing with the state-of-the-arts works, superior performance can be achieved by the proposed method. Particularly, by the proposed histogram shrinking, better embedding result can be achieved for the cover image with high peak bins at both sides of the image spatial histogram (e.g., the JPEG2000 test image Woman).

Original languageEnglish (US)
Pages (from-to)58-67
Number of pages10
JournalJournal of Information Security and Applications
Volume39
DOIs
StatePublished - Apr 2018

All Science Journal Classification (ASJC) codes

  • Software
  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications

Keywords

  • Double parameter-planes
  • Histogram-pair based RDH
  • Optimal four thresholds
  • Reversible data hiding (RDH)

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