Data hiding in grayscale images by dynamic programming based on a human visual model

I. S. Lee, Wen-Hsiang Tsai *

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

A new method for data hiding in grayscale images based on a human vision model with distortion-minimizing capabilities is proposed. Each of the eight bit planes of an input grayscale image is viewed as a binary image, into which message data are embedded horizontally. Two optimization techniques, namely, block pattern coding and dynamic programming, are proposed for image distortion minimization. Experimental results show good performs of the proposed method.

Original languageEnglish
Pages (from-to)1604-1611
Number of pages8
JournalPattern Recognition
Volume42
Issue number7
DOIs
StatePublished - 1 Jul 2009

Keywords

  • Block pattern encoding
  • Data hiding
  • Dynamic programming
  • Grayscale image
  • Human visual system

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