Optical color watermarking based on single-pixel imaging and singular value decomposition in invariant wavelet domain
Optical color watermarking based on single-pixel imaging and singular value decomposition in invariant wavelet domain
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基于不变小波域单像素成像和奇异值分解的光学彩色水印
DOI：
10.1016/j.optlaseng.2020.106376
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发表时间：
2021-02
影响因子：
4.6
通讯作者：
Hongyi Chen
中科院分区：
文献类型：
--
作者：
Gang Qu;Xiangfeng Meng;Xiulun Yang;Huazheng Wu;Pengwei Wang;Wenqi He;Hongyi Chen
提出了一种基于单像素成像（SPI）、重分布不变提升小波变换（RILWT）和奇异值分解（SVD）的盲光学彩色水印方案。在SPI中引入Bayer阵列，完成目标场景（水印）的全色成像，需要存储的数据量减少到原来的三分之一。该水印方案通过构造RILWT和基于奇异值分解的主分量嵌入，对各种攻击具有很强的鲁棒性。此外，该水印方案具有水印容量大、不可感知性好、提取水印时不需要原始宿主图像等优点。理论分析和光学实验结果表明，该方法具有良好的性能和高鲁棒性。
A blind optical color watermark scheme is proposed with single-pixel imaging (SPI), redistributed invariant lifting wavelet transform (RILWT) and singular value decomposition (SVD), in which, the watermark is first encrypted by the SPI and then embedded into host image with SVD in redistributed invariant wavelet domain. Bayer array is introduced into SPI to complete full color imaging of target scene (watermark) and the amount of data needs to be stored is reduced to one third. The construction of RILWT and principle components embedding based on SVD provide our watermark scheme high robustness to various kinds of attacks. In addition, the watermark scheme has large capacity, good imperceptibility and no original host image is needed when extracting the watermark. The theory analysis and optical experimental results have demonstrated the good performance and high robustness of the proposed method.
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DOI：
10.1016/j.jvcir.2014.03.012
发表时间：
2014-07
期刊：
J. Vis. Commun. Image Represent.
影响因子：
--
作者：
Jing-Ming Guo;Heri Prasetyo
通讯作者：
Jing-Ming Guo;Heri Prasetyo
影响因子：
3.8
作者：
殷雪蕾;夏云杰;段德洋
通讯作者：
段德洋
基于奇异值分解鬼影成像和提升小波变换的光学图像水印
影响因子：
4.6
作者：
Shiqing Wang;Xiangfeng Meng;Yongkai Yin;Yurong Wang;Xiulun Yang;Xue Zhang;Xiang Peng;Wenqi He;Guoyan Dong;Hongyi Chen
通讯作者：
Hongyi Chen
影响因子：
3.8
作者：
Wen Chen
通讯作者：
Wen Chen
影响因子：
2.5
作者：
Qingtang Su;G. Wang;Xiaofeng Zhang;Gaohuan Lv;Beijing Chen
通讯作者：
Qingtang Su;G. Wang;Xiaofeng Zhang;Gaohuan Lv;Beijing Chen