Abstract
This paper presents a color image watermarking scheme based on spatial information analysis in spatio-chromatic space. Principal component analysis (PCA) is used as an appropriate tool for estimating information. We use RGB color images with a regular arrangement RGB channels into spatio-chromatic space, and PCA performs de-correlation of these signals. We show that spatio-chromatic principal components of images contain spatial information and color information, and that PCA spatio-chromatic analysis is able to help the reconstruction of full images. We propose an efficient watermarking method for color images based on the observation. Watermarks are embedded in some spatio-chromatic principal components of the image, which provide invisibility and robustness. The experimental results show that the proposed method possesses robustness against most common attacks, and image processing techniques.
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© 2006 Springer-Verlag Berlin Heidelberg
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Hien, T.D., Nakao, Z., Miyara, K., Nagata, Y., Chen, Y.W. (2006). A New Chromatic Color Image Watermarking and Its PCA-Based Implementation. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Żurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2006. ICAISC 2006. Lecture Notes in Computer Science(), vol 4029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11785231_82
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DOI: https://doi.org/10.1007/11785231_82
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35748-3
Online ISBN: 978-3-540-35750-6
eBook Packages: Computer ScienceComputer Science (R0)