引用本文:朱婷鸽,曹海龙,刘颖,等.基于改进颜色空间的彩色图像双水印算法[J].控制与决策,2019,34(6):1141-1150
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基于改进颜色空间的彩色图像双水印算法
朱婷鸽1,2,3, 曹海龙1, 刘颖1,2,3, 毕萍1,2,3
(1. 西安邮电大学通信与信息工程学院,西安710121;2. 电子信息现场勘验应用技术公安部实验室,西安710121;3. 陕西省无线通信与信息处理技术国合基地,西安710121)
摘要:
基于保护图像原始特征信息和携带标识信息的多用途需求,提出一种彩色图像双水印算法.其中一个水印是图像特征,另一个水印是标识水印.首先,对图像进行Curvelet变换提取纹理特征;其次,对YCbCr改进型颜色空间Y$'Cb'Cr'$的$Y'$通道分块后进行DCT变换,用量化索引方式在每块DCT系数SVD变换后的最大奇异值上嵌入第1个纹理特征水印;再次,对Cb$'$和Cr$'$通道进行Curvelet变换,并对低频系数进行联合,根据能量分布自适应嵌入第2个水印图;然后,对嵌入水印后的3个通道频域系数进行逆变换得到空间图,并将该图转换到RGB空间得到含双水印的彩色图像;最后,对所提出算法的性能进行验证,并与相关算法通过对比的科学实验方法作比较,实验结果表明嵌入图像的双水印具有良好的不可见性和鲁棒性,特征水印能够对图像原始纹理特征进行有效的保护.
关键词:  数字水印  彩色图像  Curvelet变换  纹理特征  YCbCr  Y$'Cb'Cr'$  量化索引
DOI:10.13195/j.kzyjc.2017.1611
分类号:TP391.4
基金项目:陕西省教育厅专项科研计划项目(16JK1691);公安部科技强警项目(2016GABJC51);陕西省国际科技合作与交流计划项目(2015KW-005).
Dual watermarking algorithm for color image based on improved color space
ZHU Ting-ge1,2,3,CAO Hai-long1,LIU Ying1,2,3,BI Ping1,2,3
(1. School of Communication and Information Engineering,Xián Univerity of Posts & Telecommunications,Xián 710121,China;2. Key Laboratory of Electronic Information Application Technology for Scene Investigation, Ministry of Public Security,Xián710121,China;3. International Joint Research Center for Wireless Communication and Information Processing Technology of Shaanxi Province,Xián710121,China)
Abstract:
This paper proposes a dual watermarking algorithm for protecting the original feature information and carrying watermark information. One of the dual watermarks is image feature, and the other is the logo watermark. Firstly, Curvelet transformation is used to extract images texture features, which is considered as a feature watermark. Then, in the improved YCbCr color space Y$'Cb'Cr'$,$Y'$ component is divided into blocks, which is performed DCT transformation and SVD transformation in turn, and the feature watermark is embedded on the maximum singular value of each block by quantization index. Cb$'$ and Cr$'$ components are performed Curvelet transformation, their coefficients of low frequency are analyzed, and the second watermark is adaptively embedded according to the energy distribution. Futhermore, an improved space map is obtained by inverting the frequency coefficients of the three channels embedded in the watermark and converting the graph into the RGB space to obtain the color image with double watermarks. Finally, the performance of the proposed algorithm is verified, and compared with related algorithms through scientific experiment methods, the experimental results show that the double watermark embedded image has good invisibility and robustness, and the watermark of characteristics has an effective protection of the original image texture feature.
Key words:  digital watermarking  color image  Curvelet transform  textural features  YCbCr  Y$'Cb'Cr'$  quantized index

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