A novel digital image covert communication scheme based on generalized FCM in DCT domain

Li-yun Su (), Feng-lan Li, Jiao-jun Li and Bo Chen
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Li-yun Su: Chongqing University of Technology
Feng-lan Li: Chongqing University of Technology
Jiao-jun Li: Chongqing University of Technology
Bo Chen: Southwest University

Fuzzy Information and Engineering, 2011, vol. 3, issue 2, 127-136

Abstract: Abstract A novel covert communication method of digital image is presented, based on generalized fuzzy c-means clustering (GFCM), human visual system (HVS) and discrete cosine transform (DCT). Therefore, the original image blocks are classified into two classes according to specified characteristic parameters. So one block is suited for embedding security information, but the other block is not. Hence the appropriate blocks can be selected in an image to embed the security information by selectively modifying the middle-frequency part of the original image in conjunction with HVS and DCT. Furthermore the maximal information strength is fixed based to the frequency masking. Also to improve performances of the proposed algorithm, the security information is modulated into the chaotic modulation array. The simulation results show that we can remarkably extract the hiding security information and can achieve good robustness with common signal distortion or geometric distortion and the quality of the embedded image is guaranteed.

Keywords: Covert communication; Digital image; Generalized fuzzy c-means clustering; Human visual system; Discrete cosine transform (search for similar items in EconPapers)
Date: 2011
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DOI: 10.1007/s12543-011-0071-z

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