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利用边缘匹配矢量量化和变率编码的高嵌入效率信息隐藏

王凌飞, 潘志斌, 邓晓曼, 胡森(西安交通大学电子与信息工程学院, 西安 710049)

摘 要
衡量信息隐藏方法性能的优劣,一个重要指标为嵌入效率。在Deng方法的基础上,提出一种对其嵌入效率的改进算法,利用边缘匹配矢量量化(SMVQ)更强的索引间相关性以及当前块与相邻块索引差值更集中的数值分布范围进行信息隐藏。实验结果表明改进后的算法能够显著提高嵌入性能,与Deng方法相比,比特率下降了10.43%~19.80%,嵌入容量提高了25.61%~46.95%,嵌入效率则提高了41.33%~71.95%。
关键词
Highly efficient information hiding using SMVQ-compressed images and variable length coding

Wang Lingfei, Pan Zhibin, Deng Xiaoman, Hu Sen(School of Electronic and Information Engineering, Xi'an Jiao Tong University, Xi'an 710049, China)

Abstract
Embedding effciency is one of the most important factors to measure the information hiding perfomance. Our proposed method is based on Deng’s scheme in order to improve its embedding efficiency. Our proposed method embeds secret data by using the highly correlated SMVQ index and variable length coding. Experimental results show that the proposed method can increase embedding effciency significantly. Compared with Deng’s scheme, our proposed method achives not only 10.43%~19.80% reduction of bit rate but also 25.61%~46.95% increasment of embedding capacity. As a result, the embedding efficiency is increased to 41.33%~71.95% in total.
Keywords

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