摘要
针对现有可逆图像水印算法中嵌入量与图像视觉质量之间的矛盾,提出了一种基于多尺度分解与预测误差扩展的可逆图像水印算法。首先,对原始图像进行多尺度分解,将其分解为同质块和非同质块;其次,通过对同质块进行预测误差扩展来嵌入水印信息;最后,通过计算非同质块信息熵,根据嵌入水印信息量选择合适的非同质块,通过对选取的非同质块进行整数小波变换,在中高频中嵌入剩余水印信息。实验结果表明,该算法易于实现且完全可逆,能有效提高水印嵌入量,具有较高的视觉质量。
In view of the contradiction between the embedding capacity and the visual quality of the existing reversible image watermarking algorithm,a reversible image watermarking algorithm based on multi-scale decomposition and prediction error expansion was proposed.Firstly,the original image is decomposed into homogeneous and non-homogenous blocks by multi-scale decomposition.Then,the watermark information is embedded by the prediction error expansion of homogeneous blocks.Finally,based on the calculation of non-homogenous block information entropy,the non-homogenous blocks are selected according to the amount of embedded watermark information,and the remaining watermark information is embedded in the middle and high frequency by integer wavelet transforrn.Experimental results show that the proposed algorithm is easy to implement and is to completely reversible,and it can effectively improve the watermarke embedding capacity and has higher visual quality.
作者
张正伟
吴礼发
严云洋
ZHANG Zheng-wei;WU Li-fa;YAN Yun-yang(Faculty of Computer and Software Engineering,Huaiyin Institute of Technology,Huai'an223003,China;College of Command Information System,PLA University of Science and Technology,Nanjing210007,China)
出处
《计算机科学》
CSCD
北大核心
2017年第12期100-104,共5页
Computer Science
基金
国家自然科学基金项目(61402192)
江苏省自然科学基金(BK20131069)资助
关键词
可逆图像水印
预测误差扩展
整数小波交换
多尺度分解
视觉质量
Reversible image watermarking
Precliction error expansion
Integer wavelet transform(IWT)
Multi-scale decomposition
Visual quality
