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A Novel Color Image Watermarking Method Based on Genetic Algorithm

  • Yinghua Lu
  • Jialing Han
  • Jun Kong
  • Gang Hou
  • Wei Wang
Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 345)

Abstract

In the past a few years, many watermarking approaches have been proposed for solving the copyright protection problems, most of the watermarking schemes employ gray-level images to embed the watermarks, whereas the application to color images is scarce and usually works on the luminous or individual color channel. In this paper, a novel intensity adaptive color image watermarking algorithm based on genetic algorithm (CIWGA) is presented. The adaptive embedding scheme in three channels’ wavelet coefficients, which belong to texture-active regions, not only improves image quality, but also furthest enhances security and robustness of the watermarked image. The experimental results show that our method is more flexible than traditional methods and successfully fulfills the compromise between robustness and image quality.

Keywords

Genetic Algorithm Color Image Watermark Image Watermark Scheme Improve Image Quality 
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

  • Yinghua Lu
    • 1
  • Jialing Han
    • 1
    • 2
  • Jun Kong
    • 1
    • 2
  • Gang Hou
    • 1
    • 3
  • Wei Wang
    • 1
  1. 1.Computer SchoolNortheast Normal UniversityChangchun, Jilin ProvinceChina
  2. 2.Key Laboratory for Applied Statistics of MOEChina
  3. 3.College of Humanities and ScienceNortheast Normal UniversityChangchunChina

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