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Volume: 51 | Article ID: art00010
Digital Watermarking of Spectral Images Using PCA-SVD
  DOI :  10.2352/J.ImagingSci.Technol.(2007)51:1(79)  Published OnlineJanuary 2007

Kaarna et al. [J. Imaging Sci. Technol. 48, 183–193 (2004)] presented a technique based on principal component analysis (PCA) to embed a digital watermark containing copyright information into a spectral image. In this paper, a hybrid watermarking method based on the pure PCA approach of Kaarna <etal/> and singular value decomposition (SVD) is proposed. The performance of the proposed technique is compared with a pure PCA based technique against attacks including lossy image compression, median, and mean filtering. The experiments show that the proposed method outperforms a pure PCA based technique.

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Long Ma, Changjun Li, Shuni Song, "Digital Watermarking of Spectral Images Using PCA-SVDin Journal of Imaging Science and Technology,  2007,  pp 79 - 85,

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