Robust Halftone Image Watermarking Scheme Based on Neural Networks

  • Xiang-yang Wang
  • Jun Wu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3973)


In this paper, a novel robust halftone image watermarking algorithm based on neural networks is presented. By using neural networks, the error diffusion filter can be adjusted adaptively, which can integrate the data embedding with the halftone processing in our scheme. Experimental results show that the proposed halftone image watermarking is invisible and robust against various signal processions such as JBIG compression, noise adding, cropping, daubing and print-scan. Especially, the algorithm can extract the watermark without the help from the original image.


Image Watermark Error Correction Code Host Image Digital Watermark Watermark Embedding 
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

  • Xiang-yang Wang
    • 1
  • Jun Wu
    • 1
  1. 1.School of Computer and Information TechnologyLiaoning Normal UniversityDalianChina

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