An embedding technique based upon block prediction

Authors:
Ming-Ni Wu;Chia-Chen Lin;Chin-Chen Chang
Affiliations:
Department of Computer Science and Information Engineering, National Chung Cheng University, Chaiyi 621, Taiwan, ROC;Department of Computer Science and Information Management, Providence University, Taichung 433, Taiwan, ROC;Department of Information Engineering and Computer Science, Feng Chia University, Taichung 40724, Taiwan, ROC
Venue:
Journal of Systems and Software
Year:
2008

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Abstract

This paper presents a novel data hiding scheme for VQ compression images. This scheme first uses SMVQ prediction to classify encoding blocks into different types, then uses different codebooks and encoding strategies to perform encoding and data hiding simultaneously. In using SMVQ prediction, no extra data is required to identify the combination of encoding strategies and codebook, which helps improve compression performance. Furthermore, the proposed scheme adaptively combines VQ and SMVQ encoding characteristics to provide higher image quality of stego-images while size of the hidden payload remains the same. Experimental results show that the proposed scheme indeed outperforms other previously proposed schemes in image quality of the stego-images and compression performance.