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Optimizing least-significant-bit substitution using cat swarm optimization strategy

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Indexed by:期刊论文

Date of Publication:2012-06-01

Journal:INFORMATION SCIENCES

Included Journals:SCIE、EI、Scopus

Volume:192

Page Number:98-108

ISSN No.:0020-0255

Key Words:Image hiding; Least-significant-bit substitution; Cat swarm optimization algorithm

Abstract:Embedding secret data into a cover image using simple least-significant-bit substitution can degrade the image quality dramatically, especially when a large number of bits are substituted. The exhaustive least-significant-bit substitution method is proposed to solve this problem. However, the idea has no practical application due to its long computation time. This paper adopts the cat swarm optimization (CSO) strategy to obtain the optimal or near optimal solution of the stego-image quality problem. The CSO strategy is generated by observing the behavior of cats, which has been proved to achieve better performance on finding the best global solutions. We revised the CSO strategy in our proposed scheme to make it practicable and suitable to solve the mentioned problem. The experimental results show that the proposed scheme can obtain a better solution with less computation time. (C) 2010 Elsevier Inc. All rights reserved.

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