Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
533663 | Pattern Recognition | 2009 | 8 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
I-Shi Lee, Wen-Hsiang Tsai,