A Blind Robust Watermarking Scheme Based on CT and SVD

摘要：

In this paper, we present an image watermarking scheme based on contourlet transform (CT) and singular value decomposition (SVD). Unlike usual CT algorithm where the watermarking is embedded directly into the coefficients, we segment the lowpass coefficients into blocks. The blocks are decomposed using SVD, and the watermarking image after Arnold scrambling is embedded into the biggest singular value by using Euclidean norm and combining with human visual system (HVS) adaptively. Experimental results show that the proposed scheme guarantees high peak signal to noise ratio (PSNR), and is very robust against scaling, JPEG compression, cropping etc.

关键词： Watermarking Contourlet Transform Singular Value Decomposition Euclidean norm

作者: Hongbo BI Xueming LI Yubo ZHANG Yan XU

作者单位: School of Information and Communication Engineering, Beijing University of Posts and Telecommunicati School of Information and Communication Engineering, Beijing University of Posts and Telecommunicati School of Electrical Information Engineering, Northeast Petroleum University, Daqing, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 881-884

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）