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http://dx.doi.org/10.5391/JKIIS.2007.17.7.964

An Watermarking Method Based on Singular Vector Decomposition and Vector Quantization Using Fuzzy C-Mean Clustering  

Lee, Byung-Hee (명지대 공대 정보공학과)
Jang, Woo-Seok (명지대 공대 정보공학과)
Kang, Hwan-Il (명지대 공대 정보공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.17, no.7, 2007 , pp. 964-969 More about this Journal
Abstract
In this paper, we propose the image watermarking method for good compression ratio and satisfactory image quality of the cover image and the embedding image. This method is based on the singular value decomposition and the vector quantization using fuzzy c-mean clustering. Experimental results show that the embedding image has invisibility and robustness to various serious attacks. The advantage of this watermarking method is that we can achieve both the compression and the watermarking method for the copyright protection simultaneously.
Keywords
Singular value decomposition; Vector quantization; Fuzzy C-Mean clustering; watermarking;
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