Self-organizing Coefficient for Semi-blind Watermarking

  • Sung-kwan Je
  • Chang-jin Seo
  • Jin-young Lee
  • Eui-young Cha
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2642)


In this paper, we present a watermarking scheme based on the DWT (Discrete Wavelet Transform) and the ANN (Artificial Neural Network) to ensure the copyright protection of the digital images. To embed the watermark, the interested regions where the watermark is embed must be decided by the SOFM (Self-Organizing Feature Maps). Among the classified nodes, we select the middle of nodes and establish the average of node as threshold. The established threshold applies the only wavelet coefficients of the selected node, so we can reduce the time cost. Using the SOFM that much safer than other algorithms because unauthorized user can’t know the result of training by the SOFM. So even the watermark casting process is in public, the attackers or unauthorized users still cannot remove the watermark from the watermarked image. As the result, the fidelity of the image is excellent than any other algorithm, and the process is good at the strength test-filtering, geometric transform and etc. Furthermore, it is also robust in JPEG compression as well.


Original Image Discrete Wavelet Transform Wavelet Coefficient Watermark Scheme JPEG Compression 
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 2003

Authors and Affiliations

  • Sung-kwan Je
    • 1
  • Chang-jin Seo
    • 2
  • Jin-young Lee
    • 2
  • Eui-young Cha
    • 1
  1. 1.Dept. Computer SciencePusan National UniversityKorea
  2. 2.Dept. MultimediaPusan National UniversityKorea

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