HALFTONE WATERMARKING METHOD BASED ON THE MINIMUM BRIGHTNESS VARIATION AND NEURAL MODEL

摘要：

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.

关键词： Digital watermark MBVQ Neural model Halftone Print-and-scan

作者: PAN RONG WANG FENG WANG QUAN

作者单位: Xidian University,Xian,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer Technology and Development(2011第三届计算机技术与发展国际会议 ICCTD2011)

会议地点: 成都

会议语种:英文

页码: 681-687

在线出版日期: 2011-11-25（万方平台首次上网日期，不代表论文的发表时间）