An Improved Histogram Modification Based Reversible Information Hiding Scheme

Ju Yuan Hsiao, Meng Hsing Hsieh, Po Yueh Chen

Research output: Contribution to journalArticle

Abstract

In this paper, the authors propose an accurate prediction scheme to improve the histogram modification based reversible information hiding (HMRIH) algorithm. The prediction is based on both local gradients and context pixels. The proposed scheme detects not only the existence of an edge (vertical or horizontal), but also its strength (sharp, normal, or weak). Since such an approach can generate more accurate prediction values, the prediction errors tend to form a much sharper histogram distribution. The experimental results reveal that, without degrading the image quality, the proposed scheme can improve the embedding capacity by 7.9% in average.

Original languageEnglish
Pages (from-to)643-650
Number of pages8
JournalIETE Journal of Research
Volume63
Issue number5
DOIs
Publication statusPublished - 2017 Sep 3

Fingerprint

Information Hiding
Histogram
Prediction
Prediction Error
Image Quality
Horizontal
Pixel
Vertical
Tend
Image quality
Gradient
Pixels
Experimental Results

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

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An Improved Histogram Modification Based Reversible Information Hiding Scheme. / Hsiao, Ju Yuan; Hsieh, Meng Hsing; Chen, Po Yueh.

In: IETE Journal of Research, Vol. 63, No. 5, 03.09.2017, p. 643-650.

Research output: Contribution to journalArticle

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