SMVQ索引分类编码无损信息隐藏算法

doi:10.3969/j.issn.1001-2400.2016.05.023

Abstract

Abstract:

In order to increase the embedding capacity of the VQ-based data hiding scheme, a lossless data hiding method based on the state-codebook sorted SMVQ-index classified coding is proposed. First, when doing SMVQ compression, the proposed SCS method is used to reduce the indices values and increase the embeddable indices percentage. Then according to the indices' distribution characteristic, the indices less than eight are classified into four cases. Finally, the secret data are embedded into the code stream of these indices. Experimental results indicate that, with the same image quality as that of VQ, the embedding capacity of the proposed scheme is superior to some that of previous schemes. Compared with the lossless data hiding scheme based on SMVQ-index residual value coding and the ASCM method, the embedding efficiency is increased by 4.5％ and 48.8％ respectively.

Key words: data hiding, vector quantization, side-match, state-codebook sorting, index classified coding

LIU Juanni;ZHOU Quan. SMVQ-index classified coding for lossless data hiding[J].Journal of Xidian University, 2016, 43(5): 128-132+146.

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SMVQ-index classified coding for lossless data hiding

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