An Adaptive Image Watermarking Algorithm Based on Neural Network

摘要：

According to the characteristic of Human Visual System and the association memory ability of neural network, an adaptive image watermarking algorithm based on neural network is proposed. The watermarking signal is embedded in higher frequency, which is in the lower frequency of original image by DWT joined with DCT. The ability of attracting is improved by pretreatment and re-treatment of image scrambling and Hopfield network. Experimental results show that the embedded digital watermarking is invisible and robust enough against common image processing such as JPEG compression, noises, filter and shearing.

关键词： DWT DCT Image Scrambling Hopfield Network

作者: He Xu Chang Shujuan

作者单位: Xian Institute of Post and Telecommunications, Xian, Shaanxi, 710121, China

会议类型: 国际会议

会议名称: 2011 Fourth International Conference on Intelligent Computation Technology and Automation(2011年第四届智能计算技术与自动化国际会议 ICICTA 2011)

会议地点: 深圳

会议语种:英文

页码: 408-411

在线出版日期: 2011-03-28（万方平台首次上网日期，不代表论文的发表时间）