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A New Chromatic Color Image Watermarking and Its PCA-Based Implementation

  • Thai Duy Hien
  • Zensho Nakao
  • Kazuyoshi Miyara
  • Yasunori Nagata
  • Yen Wei Chen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4029)

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.

Keywords

Principal Component Analysis Color Image Image Watermark Independent Component Analysis Image Processing Technique 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Thai Duy Hien
    • 1
  • Zensho Nakao
    • 1
  • Kazuyoshi Miyara
    • 1
  • Yasunori Nagata
    • 1
  • Yen Wei Chen
    • 2
  1. 1.University of the RyukyusOkinawaJapan
  2. 2.Ritsumeikan UniversityShiga

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