Digital Watermarking based on Wavelet Transform and Singular Value Decomposition(SVD) 


Vol. 27,  No. 6, pp. 602-609, Jun.  2002


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  Abstract

In this paper, we propose an robust invisible watermarking method using wavelet transform and singular value decomposition for the ownership protection. of images. For this method, after we decompose the original image in three level using wavelet transform, we use singular value decomposition based key depended watermark insertion method in the lowest band LL₃. And we also watermark using OCT for extraction of watermark and verification of robustness. In the experiments, we found that it had a good quality and robustness in attack such as compression, image processing, geometric transformation and noises. Especially, we know that this method have very high extraction ratio against nose and JPEG compression. And Digimarc's method can not extract watermark in 80 percent compression ratio of JPEG, but the proposed method can extract well.

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  Cite this article

[IEEE Style]

C. Kim and E. Cha, "Digital Watermarking based on Wavelet Transform and Singular Value Decomposition(SVD)," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 6, pp. 602-609, 2002. DOI: .

[ACM Style]

Cheol-Ki Kim and Eui-Young Cha. 2002. Digital Watermarking based on Wavelet Transform and Singular Value Decomposition(SVD). The Journal of Korean Institute of Communications and Information Sciences, 27, 6, (2002), 602-609. DOI: .

[KICS Style]

Cheol-Ki Kim and Eui-Young Cha, "Digital Watermarking based on Wavelet Transform and Singular Value Decomposition(SVD)," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 6, pp. 602-609, 6. 2002.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880