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基于关键熵的双树复小波域盲图像水印算法
引用本文:刘金华,佘堃.基于关键熵的双树复小波域盲图像水印算法[J].光电子.激光,2011(5):757-762.
作者姓名:刘金华  佘堃
作者单位:电子科技大学计算机科学与工程学院;;电子科技大学计算机科学与工程学院;
基金项目:国家自然科学基金资助项目(60873185;60903074)
摘    要:设计了一种基于关键熵的盲数字图像水印算法.首先,使用尺度不变特征变换(SIFT)方法,从图像中提取特征点;其次,以特征点为中心构造局部不变圆形区域,并对其进行归一化处理;然后,选取大于图像平均熵的图像区域作为关键熵图像区域;最后,结合量化调制策略及双树复小波变换(DTCWT)技术,将水印嵌入到关键熵图像区域中.实验分析...

关 键 词:数字图像水印  关键熵  尺度不变特征变换(SIFT)  双树复小波变换(DTCWT)

Key entropy-based blind image watermarking algorithm in the dual-tree complex wavelet transform domain
LIU Jin-hua and SHE Kun.Key entropy-based blind image watermarking algorithm in the dual-tree complex wavelet transform domain[J].Journal of Optoelectronics·laser,2011(5):757-762.
Authors:LIU Jin-hua and SHE Kun
Affiliation:School of Computer Science and Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China;School of Computer Science and Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China
Abstract:A blind image watermarking algorithm based on key entropy using the dual-tree complex wavelet transform(DTCWT) and the scale invariant feature transform(SIFT) is proposed in this paper.Firstly,the image feature point is extracted by using the SIFT when generating local invariant circular regions in watermark embedding.Secondly,each circular region is normalized and the entropy of each circular region is calculated,whereas the circular regions which its entropy is greater than average entropy,are...
Keywords:digital image watermarking  key entropy  scale invariant feature transform(SIFT)  dual-tree complex wavelet transform(DTCWT)
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