A High Payload VQ Steganographic Method for Binary Images

Authors:
Chin-Chen Chang;Chih-Yang Lin;Yu-Zheng Wang
Affiliations:
Department of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan, R.O.C. 40724 and Department of Computer Science and Information Engineering, National Chung Chen ...;Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan, R.O.C. 62102;Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan, R.O.C. 62102
Venue:
IWDW '07 Proceedings of the 6th International Workshop on Digital Watermarking
Year:
2008

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Abstract

In this paper, we propose a new VQ steganographic method for embedding binary images and improving the stego-image quality. The main idea is using the new S-tree to represent the binary image and applying the genetic k -means clustering technique on the codebook to obtain strong cohesion clusters in order to reduce the replacement distortion. Experimental results show that our method outperforms the existing schemes on both image quality and embedding capacity.