Minimizing the distortion spatial data hiding based on equivalence class

Authors:
Shaohui Liu;Hongxun Yao;Wen Gao;Dingguo Yang
Affiliations:
VILAB, School of Computer Science and Techonolgy, Harbin Instititue of Technology, Harbin, P.R. China;VILAB, School of Computer Science and Techonolgy, Harbin Instititue of Technology, Harbin, P.R. China;VILAB, School of Computer Science and Techonolgy, Harbin Instititue of Technology, Harbin, P.R. China;VILAB, School of Computer Science and Techonolgy, Harbin Instititue of Technology, Harbin, P.R. China
Venue:
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
Year:
2007

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Abstract

Data hiding strategy based on equivalence class is proposed. We transform information hiding problem into finding the representative element in specific equivalence class. Then minimizing the distortion in the equivalence class (MDEC) is proposed, and this is used in the LSB hiding scheme. The theoretic performance of LSB hiding based on MDEC is analyzed in detail. Then a variable LSB method based on MDEC is also proposed. It can solve efficiently the problem of selecting different LSB methods to fit message with different length. Similarly, the performance is also proposed. In fact, there exists a tradeoff between distortion and length of information. However, most spatial hiding scheme based on LSB will reach larger distortion in hiding less information. The proposed hiding strategy can resolve this issue efficiently and can meet such applications where the size of message is very unstable. In addition, proposed strategy not only improves the quality of steg image but also does not sacrifice its security.