Dual watermarking algorithm based on singular value decomposition and compressive sensing
Dual watermarking algorithm based on singular value decomposition and compressive sensing
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DOI：
10.1109/icct.2017.8359932
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发表时间：
2017-10
期刊：
影响因子：
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通讯作者：
Nan Wang;Zhi Li;Xinyu Cheng;Yi Chen
中科院分区：
文献类型：
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作者：
Nan Wang;Zhi Li;Xinyu Cheng;Yi Chen
为了保护数字图像版权信息的完整性，增强图像抗篡改和抗篡改恢复的能力，本研究提出了一种双水印算法，该算法将基于奇异值分解（SVD）的鲁棒水印算法与基于压缩感知（CS）的脆弱水印算法相结合。SVD具有旋转、缩放和其他几何变换的不变性。因此，基于奇异值分解的水印算法可以利用奇异值分解的不变性来保证水印的稳定性和鲁棒性。对于单一的水印算法，无论如何都无法监控被保护图像的篡改情况。因此，本研究提出了一种基于CS的脆弱水印算法，该算法能够在被保护图像被篡改时及时感知，并在一定程度上修复被篡改的图像。实验结果表明，该算法可用于图像的版权保护和篡改检测。此外，该算法能够正确提取常规几何和非几何攻击后的水印信号，准确定位篡改点，恢复图像信息。
To protect the integrity of digital image copyright information and to enhance the ability of an image to resist tampering and recover from tampering, this study presents a dual watermarking algorithm that connects the robust watermarking algorithm based on singular value decomposition (SVD) with a fragile watermarking algorithm based on compressive sensing (CS). SVD has the invariance of rotation, scaling, and other geometric transformations. Hence, the watermarking algorithm based on SVD can be used to guarantee stability and robustness by using the invariance of SVD. For the single watermarking algorithm, the tampering of the protected image cannot be monitored in any way. Thus, this study proposes a fragile watermarking algorithm based on CS, which can perceive in time when the protected image is tampered and repair the tampered image to a certain extent. Experimental results show that the proposed algorithm can be used for copyright protection and tampering detection of images. Furthermore, the algorithm can correctly extract the watermark signals after conventional geometric and non-geometric attacks, accurately locate the tampering, and restore the image information.