Halftone Watermarking Method Based on the Minimum Brightness Variation and Neural Model


Combining the minimum brightness variation criterion (MBVC) and the artificial neuron model, a color halftone watermarking algorithm which embedding the watermark information during the halftone process is presented. This algorithm uses MBVC in quantization rules and embeds the watermark information in the image by training and adjusting the weight. Through this algorithm a high-quality halftone image can be gotten, and experiments show that it has a good performance against regular attack and print-and-scan process.

  • Abstract
  • Key Words
  • 1. Introduction
  • 2. Watermarking Algorithm Model
  • 3. The Embedding and Extraction of the Watermark
  • 4. Experimental Results and Analysis
  • Acknowledgements
  • References

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