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.
Digital watermark MBVQ Neural model Halftone Print-and-scan
PAN RONG WANG FENG WANG QUAN
Xidian University,Xian,China
国际会议
成都
英文
681-687
2011-11-25(万方平台首次上网日期,不代表论文的发表时间)