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ASME Press Select Proceedings
International Conference on Computer Technology and Development, 3rd (ICCTD 2011)
ISBN:
9780791859919
No. of Pages:
2000
Publisher:
ASME Press
Publication date:
2011
eBook Chapter
113 Halftone Watermarking Method Based on the Minimum Brightness Variation and Neural Model
Page Count:
7
-
Published:2011
Citation
Pan, R, Wang, F, & Wang, Q. "Halftone Watermarking Method Based on the Minimum Brightness Variation and Neural Model." International Conference on Computer Technology and Development, 3rd (ICCTD 2011). Ed. Zhou, J. ASME Press, 2011.
Download citation file:
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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