SVR-based oblivious watermarking scheme

Authors:
Yonggang Fu;Ruimin Shen;Hongtao Lu;Xusheng Lei
Affiliations:
Deperment of Computer Science and Engineering, Shanghai Jiaotong Univ. Shanghai and Department of Software, Xiamen University, Xiamen, Fujian, China;Deperment of Computer Science and Engineering, Shanghai Jiaotong Univ. Shanghai, China;Deperment of Computer Science and Engineering, Shanghai Jiaotong Univ. Shanghai, China;Department of Automation, Shanghai Jiaotong University, Shanghai China
Venue:
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Year:
2005

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Abstract

With the development of Internet, digital medias can be easily redistributed which renders copyright protection issues. A novel support vector regression (SVR) based oblivious watermarking scheme for color image is proposed in this paper. The watermark is embedded into the blue channel of color images by applying the good learning ability of SVR. Using the information of unmodified reference positions, the SVR can be trained well. Thanks to the good generalization ability of SVR, the watermark can be correctly extracted under several different attacks. Experimental results show that the proposed scheme have outperforming performance over Kutter's method against several different attacks including noise addition, shearing, luminance & contrast enhancement, distortion, etc.