摘要
对基于熵的混沌加密小波变换水印算法进行研究,提出了一种基于图像信息熵理论的水印算法。通过对宿主图片采用小波变换,对子带图像计算信息熵,熵值最高的子带将再次进行二级小波分解,最终将经过加密处理的水印信息嵌入到分解后的子带中。通过模拟仿真对本算法进行了实验和分析,结果表明本算法能够有效的提取水印图像,表现出较好的鲁棒性。
A watermarking algorithm based on wavelet transform and image information entropy theory is proposed.Firstly,the host image is decomposed by discrete wavelet transform,and then the sub-band image with the highest entropy is computed,the sub-band with the highest entropy value is decomposed by second-order wavelet,the encrypted watermarking information is embedded in the region with the highest entropy.The algorithm is tested and analyzed by simulation,and the results show that the watermarking image can be extracted effectively and good robustness.
作者
张帅
刘昭雲
张伟伟
杨雪霞
ZHANG Shuai;LIU Zhao-yun;ZHANG Wei-wei;YANG Xue-xia(Centre of Teaching Research,Taiyuan Radio&TV University,Taiyuan 030024,China;School of Applied Sciences,Taiyuan University of Science and Technology,Taiyuan 030024,China)
出处
《太原科技大学学报》
2019年第3期175-179,共5页
Journal of Taiyuan University of Science and Technology
基金
国家自然科学基金(11602157)
关键词
小波变换
混沌加密
信息熵
归一化
鲁棒性
wavelet transform
chaotic encryption
normalized value
robustness
