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

被引：28

作者：

Lee, I-Shi ^{[1
]}

Tsai, Wen-Hsiang ^{[1
,2
]}

机构：

[1] Natl Chiao Tung Univ, Dept Comp Sci & Informat Engn, Hsinchu 30010, Taiwan

[2] Asia Univ, Dept Informat Commun, Taichung 41354, Taiwan

来源：

PATTERN RECOGNITION | 2009年 / 42卷 / 07期

关键词：

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

D O I：

10.1016/j.patcog.2009.01.014

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：1604 / 1611

页数：8

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