A new chromatic color image watermarking and its PCA-Based implementation

  • Authors:
  • Thai Duy Hien;Zensho Nakao;Kazuyoshi Miyara;Yasunori Nagata;Yen Wei Chen

  • Affiliations:
  • University of the Ryukyus, Okinawa, Japan;University of the Ryukyus, Okinawa, Japan;University of the Ryukyus, Okinawa, Japan;University of the Ryukyus, Okinawa, Japan;Ritsumeikan University, Shiga

  • Venue:
  • ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
  • Year:
  • 2006

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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.