摘要
为了满足数字图像先用后买的商务模式的需要,提出了一种基于空域可恢复信息隐藏的数字图像人工退化算法。该算法使用可恢复信息隐藏算法中的直方图平移技术来嵌入补偿矩阵,以达到最终恢复精确原始图像的目的。通过控制嵌入深度,可得到与原始图像相比有较大失真但又能获知主要信息的公开图像。在嵌入过程中采用置乱以及加密技术,使得入侵者在没有得到授权文件的情况下无法强行恢复出原始图像。实验结果表明,该算法既可以得到与原始图像相差较大的公开图像,又能在得到安全认可的情况下完整地恢复出原始图像。
In order to meet the requirement of the digital image business model of try with option to buy,we proposed an artificial image security degradation algorithm based on invertible information hiding in spatial domain.The algorithm uses histogram shifting method of lossless hiding to embed the compensation matrix for recovering the original image precisely.By controlling the embedding depth,the algorithm can generate publishing image which has large distortion but also keeps the main information of the original image.The scrambling and encryption methods are used in the algorithm so that the invaders can not recover the original image correctly by brute-force method without authorized files.The experiment results demonstrate that the algorithm can not only obtain the publishing image which has big differences with the original one,but also recover the exact image when security permission is released.
出处
《计算机科学》
CSCD
北大核心
2015年第3期162-166,共5页
Computer Science
基金
应急通信重庆市重点实验室开放课题项目(CQKLEC
20140504)资助
关键词
图像人工退化
可恢复隐藏
控制因子
直方图平移
授权文件
Image artificial degradation
Lossless hiding
Control factor
Histogram shifting
Authorized files
