VQ image steganographic method with high embedding capacity using multi-way search approach

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.;Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan, R.O.C.;Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan, R.O.C.
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Year:
2005

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Abstract

Embedding large quantities of data in VQ (Vector Quantization) images is a thorny problem, since the hiding schemes usually have to change the index values of the VQ images, which might cause serious image distortion. As a result, many currently existing methods can only afford to support a small embedding capacity. In this article, we shall propose a new method that uses the genetic clustering technique on the codebook to obtain better clusters so that the replacement distortion of indices can be reduced. Then, we apply multi-way search to hide the secret data. Experimental results show that our new method outperforms existing schemes on both image quality and embedding capacity.