An adaptive data hiding scheme with high embedding capacity and visual image quality based on SMVQ prediction through classification codebooks

Authors:
Chin-Feng Lee;Hsing-Ling Chen;Shu-Hua Lai
Affiliations:
Department of Information Management, Chaoyang University of Technology, 168 Jifong E. Rd., Wufong Township, Taichung County 41349, Taiwan, ROC;Graduate Institute of Informatics, Doctoral Program, Chaoyang University of Technology, 168 Jifong E. Rd., Wufong Township, Taichung County 41349, Taiwan, ROC;Department of Information Management, Chaoyang University of Technology, 168 Jifong E. Rd., Wufong Township, Taichung County 41349, Taiwan, ROC
Venue:
Image and Vision Computing
Year:
2010

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Abstract

This study exploits the characteristics of image blocks to develop an adaptive data hiding scheme that is based on SMVQ prediction. Since human beings' eyes are highly sensitive to smooth images, changes in smooth cause great distortion and attract the attention of interceptors. Hence, this study proposes a data embedding scheme for embedding secret data into edge blocks and non-sufficiently smooth blocks. The experimental results show that the proposed scheme improves the quality of the stego-image and the embedding capacity.