西安电子科技大学学报（自然科学版）2016，Vol.43Issue(5)：128-132,146,6.DOI:10.3969/j.issn.1001-2400.2016.05.023
SMVQ索引分类编码无损信息隐藏算法
SMVQ-index classified coding for lossless data hiding
摘要
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 .关键词
信息隐藏/矢量量化/边缘匹配/状态码书排序/索引分类编码Key words
data hiding/vector quantization/side-match/state-codebook sorting/index classified coding分类
信息技术与安全科学引用本文复制引用
刘娟妮,周诠..SMVQ索引分类编码无损信息隐藏算法[J].西安电子科技大学学报（自然科学版）,2016,43(5):128-132,146,6.基金项目
国家自然科学基金资助项目（61372175）；国家重点实验室基金资助项目 （）
