A new histogram modification based reversible data hiding algorithm considering the human visual system

Seung Won Jung, Le Thanh Ha, Sung Jea Ko

Research output: Contribution to journalArticlepeer-review

103 Citations (Scopus)

Abstract

In this letter, we propose an improved histogram modification based reversible data hiding technique. In the proposed algorithm, unlike the conventional reversible techniques, a data embedding level is adaptively adjusted for each pixel with a consideration of the human visual system (HVS) characteristics. To this end, an edge and the just noticeable difference (JND) values are estimated for every pixel, and the estimated values are used to determine the embedding level. This pixel level adjustment can effectively reduce the distortion caused by data embedding. The experimental results and performance comparison with other reversible data hiding algorithms are presented to demonstrate the validity of the proposed algorithm.

Original languageEnglish
Article number5648443
Pages (from-to)95-98
Number of pages4
JournalIEEE Signal Processing Letters
Volume18
Issue number2
DOIs
Publication statusPublished - 2011

Bibliographical note

Funding Information:
Manuscript received October 06, 2010; revised November 16, 2010; accepted November 20, 2010. Date of publication December 03, 2010; date of current version December 20, 2010. This work was supported by Korea University Grant, Seoul Future Contents Convergence (SFCC) Cluster established by Seoul R&BD Program (10570), and Mid-career Researcher Program through National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (2010-0000449).

Keywords

  • Data hiding
  • human visual system
  • just noticeable difference
  • lossless watermarking

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

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