• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2012, Vol. 34 ›› Issue (12): 105-109.

• 论文 • 上一篇    下一篇

基于预测误差修改的医学图像数据隐藏方法

翦鹏1,陈志刚1,邓小鸿1,2,梁涤青1,黄伟琦1   

  1. (1.中南大学信息科学与工程学院,湖南 长沙 410083;2.江西理工大学应用科学学院,江西 赣州 341000)
  • 收稿日期:2011-01-09 修回日期:2012-04-01 出版日期:2012-12-25 发布日期:2012-12-25
  • 基金资助:

    国家自然科学基金资助项目(61073186);湖南省科技厅重点项目(2010TP1001);国家自然科学基金委员会国际(地区)合作与交流项目(61111140391)

A Data Hiding Scheme for Medical Images Based on Prediction Error Modification

JIAN Peng1,CHEN Zhigang1,DENG Xiaohong1,2,LIANG Diqing1,HUANG Weiqi1   

  1. (1.School of Information Science and Engineering,Central South University,Changsha 410083;
    (2.School  of Applied Science, Jiangxi University of Science and Technology,Ganzhou 341000,China)
  • Received:2011-01-09 Revised:2012-04-01 Online:2012-12-25 Published:2012-12-25

摘要:

针对医学图像可逆数据隐藏高保真、高容量、高频繁地插入和可逆性等特点,提出了一种基于预测误差修改的可逆数据隐藏算法,不需要对图像进行分块处理,利用加权线性预测得到预测图像,在预测误差直方图中采用4峰值点进行隐秘数据嵌入,较好地解决了医学图像中出现得较多的溢出问题,并在保证图像质量的同时增加了嵌入容量。理论分析和实验结果证明了算法的优越性。

关键词: 可逆数据隐藏, 预测误差, 医学图像

Abstract:

Due to the characteristics of high quality, high capacity, authentication, frequent insertions and reversibility of the medical images reversible data hiding, a reversible data hiding scheme for medical images based on prediction error modification is proposed. The proposed method uses a nonblockbased approach and obtains the prediction images by using a weighted linear predictor. In the prediction error histogram, it uses four peak points to embed the private data, and the method solves the overflow problem well, which appears in medical images. It increases the embedding capacity while keeping the distortion. The theoretical analysis and the experimental results demonstrate the superior performance of the proposed method.

Key words: reversible data hiding;prediction error;medical image