基于提升小波变换和离散余弦变换的彩色图像水印算法  

Color Image Watermarking Algorithm Based on Lifting Wavelet Transform and Discrete Cosine Transform

作　　者：刘颖 徐伟 朱婷鸽 LIU Ying;XU Wei;ZHU Ting-ge(School of Telecommunication and Information Engineering,Xi'an University of Posts and Telecommunications,Xi'an 710121,China)

机构地区：[1]西安邮电大学通信与信息工程学院,西安710121

出　　处：《科学技术与工程》2020年第10期4056-4060,共5页Science Technology and Engineering

基　　金：公安部科技强警基础工作专项(2019GABJC41);西安邮电大学研究生创新基金(CXJJLY2018041)。

摘　　要：针对一些图像水印算法不可见性与鲁棒性不易平衡的问题,提出一种基于提升小波变换和离散余弦变换相结合的水印算法。首先提取载体图像的边缘特征构造二值水印图像,并使用Arnold变换和Logistic混沌映射对水印图像进行加密。然后,将RGB图像转到YCuCv空间,对Cv通道进行提升小波变换(LWT)和分块离散余弦变换(DCT)。最后将加密的水印嵌入每个DCT变换块的低频系数中。实验结果表明,嵌入水印的图像峰值信噪比(PSNR)值均高于43 dB,进行各种常见攻击后归一化相关系数(NC)值接近1。因此,所提出的方案具有较好的水印不可见性,同时对不同的攻击具有较强的鲁棒性。To solve problem of the unbalance between the invisibility and robustness of the image watermarking algorithm,a watermarking algorithm based on lifting wavelet transform and discrete cosine transform was proposed.First,the edge feature of the cover image was extracted to construct a binary watermark image and encrypted by using the Arnold transform and the Logistic chaotic map.Second,an RGB image was converted to YCuCv space,the lifting wavelet transform(LWT)and the block discrete cosine transform(DCT)were performed on the Cv channel.Finally,the encrypted watermark was embedded into the low frequency coefficients of each DCT transform block.The experimental results show that all the peak signal to noise ratio(PSNR)values of the watermarked image were greater than 43 dB,and the normalized correlation coefficient(NC)values of were close to 1 after various conventional attacks.Therefore,the proposed scheme had better performance in invisibility,and strong robustness against different attacks.

关 键 词：图像水印 不可见性 鲁棒性 提升小波变换 加密 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]