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 journalArticle

85 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 Jan 1

Fingerprint

Data Hiding
Human Visual System
Histogram
Pixel
Pixels
Performance Comparison
Adjustment
Experimental Results
Demonstrate

Keywords

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

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing
  • Applied Mathematics

Cite this

A new histogram modification based reversible data hiding algorithm considering the human visual system. / Jung, Seung Won; Ha, Le Thanh; Ko, Sung-Jea.

In: IEEE Signal Processing Letters, Vol. 18, No. 2, 5648443, 01.01.2011, p. 95-98.

Research output: Contribution to journalArticle

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