Data hiding method based on local image features

Authors:
Xianquan Zhang;Zhenjun Tang;Tao Liang;Shichao Zhang;Yingjun Zhu;Yonghai Sun
Affiliations:
Department of Computer Science, Guangxi Normal University, Guilin, P.R. China;Department of Computer Science, Guangxi Normal University, Guilin, P.R. China;Department of Computer Science, Guangxi Normal University, Guilin, P.R. China;Department of Computer Science, Guangxi Normal University, Guilin, P.R. China, Faculty of Information Technology, University of Technology, Sydney, NSW, Australia;Department of Computer Science, Guangxi Normal University, Guilin, P.R. China;Department of Computer Science, Guangxi Normal University, Guilin, P.R. China
Venue:
AMT'12 Proceedings of the 8th international conference on Active Media Technology
Year:
2012

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Abstract

We propose a data hiding method with high embedding capacity and good fidelity. It is done by block classification, data embedding, and pixel adjustment. The image blocks are firstly divided into three categories: smooth block, edge block and textural block. Different secret bits are then adaptively embedded into different blocks in terms of the image types by using least-significant-bit (LSB) substitution. After data embedding, the changed pixels are adjusted to minimize distortion. Many experiments are conducted to validate the effectiveness of the proposed method.