Watermarking Algorithm based on Curvelet Transform And Human Visual Model

摘要：

Fast Discrete Curvelet Transform(FDCT) is a multiscale, multidirection and shift-invariant overcomplete transform. The paper proposes a blind watermarking algorithm in the FOCT domain. A simple but effective human visual model in FDCT domain is described. By modelling watermarking as a communication process. The experimentations show that this domain has higher capacity than the wavelet (include complex wavelet and real wavelet) and spatial domains. FDCT has better direction selectivity and less redundancy than wavelets, and has shift-invariant property. Watermarking algorithm based on curvelet transform improves the robustness of watermark at gaussian white noise attack. Hence that curvelet provide a potentially good domain for watermarking.

关键词： Watermarking Fast Discrete Curvelet Transform Human Visual Model Capacity

作者: Zhenghua-Shu Xiaobao-Zhang Guodong-Liu Lixin-Gan Lin-Zhan Xiaobao-Zhang

作者单位: Key Lab of Optic-Electronic and Communication, Jiangxi Sciences and Technology Normal College, Nanch Nanchang University College of science and Technology, Nanchang, China

会议类型: 国际会议

会议名称: Second International Symposium on Electronic Commerce and Security(第二届电子商务与安全国际研究大会)(ISECS 2009)

会议地点: 南昌

会议语种:英文

页码: 208-212

在线出版日期: 2009-05-22（万方平台首次上网日期，不代表论文的发表时间）