SMVQ索引分类编码无损信息隐藏算法  

SMVQ-index classified coding for lossless data hiding

作　　者：刘娟妮[1] 周诠[1] LIU Juanni ZHOU Quan(National Key Lab. of Science and Technology on Space Microwave Xi＇an Institute of Space Radio Technology, Xi＇an 710100, China)

机构地区：[1]西安空间无线电技术研究所空间微波技术国家重点实验室,陕西西安710100

出　　处：《西安电子科技大学学报》2016年第5期128-132,146,共6页Journal of Xidian University

基　　金：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(9140C530403130C53192)

摘　　要：为了增加矢量量化压缩域信息隐藏方法的容量,提出一种基于状态码书排序的边缘匹配矢量量化索引分类编码无损信息隐藏算法.首先在进行边缘匹配矢量量化压缩时,利用提出的状态码书排序方法减小编码后的索引值,增加可嵌入秘密信息的索引比例,然后根据索引表的分布特点将小于8的索引分为4类编码,最后将秘密信息隐藏在这4类索引编码后的码流中.实验结果表明,在图像质量与矢量量化压缩图像相同的情况下,该算法的隐藏容量优于现有算法,与基于边缘匹配矢量量化索引残差编码的无损信息隐藏算法和利用邻近状态码书映射的无损信息隐藏算法相比,嵌入效率平均提高了45%和488%.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 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]