Constructing HVS-Based Optimal Substitution Matrix Using Enhanced Differential Evolution

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Title:	Constructing HVS-Based Optimal Substitution Matrix Using Enhanced Differential Evolution
Authors:	Tu, SF (Tu, Shu-Fen) Hsu, CS (Hsu, Ching-Sheng)
Contributors:	資訊管理學系
Keywords:	SIGNIFICANT-BIT SUBSTITUTION IMAGE HIDING SCHEME HUMAN VISUAL MODEL LSB SUBSTITUTION ALGORITHM OPTIMIZATION WATERMARKING STRATEGY
Date:	2013
Issue Date:	2014-03-03 11:31:19 (UTC+8)
Abstract:	Least significant bit (LSB) substitution is a method of information hiding. The secret message is embedded into the last.. bits of a cover-image in order to evade the notice of hackers. The security and stego-image quality are two main limitations of the LSB substitution method. Therefore, some researchers have proposed an LSB substitution matrix to address these two issues. Finding the optimal LSB substitution matrix can be conceptualized as a problem of combinatorial optimization. In this paper, we adopt a different heuristic method based on other researchers' method, called enhanced differential evolution (EDE), to construct an optimal LSB substitution matrix. Differing from other researchers, we adopt an HVS-based measurement as a fitness function and embed the secret by modifying the pixel to a closest value rather than simply substituting the LSBs. Our scheme extracts the secret by modular operations as simple LSB substitution does. The experimental results show that the proposed embedding algorithm indeed improves imperceptibility of stego-images substantially.
Relation:	MATHEMATICAL PROBLEMS IN ENGINEERING Article Number: 824239
Appears in Collections:	[Department of Information Management & Graduate Institute of Information Management] periodical articles

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