中南大学学报（自然科学版）2011，Vol.42Issue(3)：693-702,10.
一种基于块分类和差值扩展的可逆数据隐藏算法
A novel block-classification and difference-expansion based reversible data hiding algorithm
摘要
Abstract
The good statistical character of image blocks was used to present a novel digital reversible data hiding algorithm based on block-classification and difference-expansion. The host image was divided into data embedded area and auxiliary information area. In the former area, the types of image block were determined by the statistical relationship between the surrounding image blocks and the target image blocks, thus different amount of data information was embedded according to the different types. At the same time, the data were embedded in the less impact direction by the direction determined criterion, and the problem of image distortion due to single embed direction was solved. In auxiliary information embedded area, modified prediction-error was used to embed the location map and other auxiliary information for its zero overflow performance, and the new location map generated by auxiliary information embedded was avoided. Simulation of the algorithm was performed on different type images, and the results were compared with those of the exiting algorithms. The results show that the proposed algorithm has good performance, which can not only increase the amount of the embedded data, but also improve the embedded images' quality.关键词
可逆数据隐藏/差值扩展/预测误差/直方图平移分类
信息技术与安全科学引用本文复制引用
宋伟,侯建军,李赵红..一种基于块分类和差值扩展的可逆数据隐藏算法[J].中南大学学报（自然科学版）,2011,42(3):693-702,10.基金项目
国家高技术研究发展计划("863"计划)(2007AA01Z241-2) （"863"计划）
中央高校基本科研业务费专项资金资助项目(0910KYZY55) （0910KYZY55）
北京交通大学研究基金资助项目(2006XM002) （2006XM002）
