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Multichannel Color Image Watermarking Using PCA Eigenimages

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Intelligent Information Processing and Web Mining

Part of the book series: Advances in Soft Computing ((AINSC,volume 35))

Abstract

In the field of image watermarking, research has been mainly focused on gray image watermarking, whereas the extension to the color case is usually accomplished by marking the image luminance, or by processing color channels separately. In this paper we propose a new digital watermarking method of three bands RGB color images based on Principal Component Analysis (PCA). This research, which is an extension of our earlier work, consists of embedding the same digital watermark into three RGB channels of the color image based on PCA eigenimages. We evaluated the effectiveness of the method against some watermark attacks. Experimental results show that the performance of the proposed method against most prominent attacks is good.

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References

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Miyara, K., Hien, T., Harrak, H., Nagata, Y., Nakao, Z. (2006). Multichannel Color Image Watermarking Using PCA Eigenimages. In: Kłopotek, M.A., Wierzchoń, S.T., Trojanowski, K. (eds) Intelligent Information Processing and Web Mining. Advances in Soft Computing, vol 35. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-33521-8_28

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  • DOI: https://doi.org/10.1007/3-540-33521-8_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33520-7

  • Online ISBN: 978-3-540-33521-4

  • eBook Packages: EngineeringEngineering (R0)

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