A robust image watermarking scheme based on a novel HVS model in curvelet domain

被引：7
|
作者：
Xiao, Yi [1 ]
Cheng, L. M. [1 ]
Cheng, L. L. [1 ]
机构：
[1] City Univ Hong Kong, Dept Elect Engn, Kowloon, Hong Kong, Peoples R China
来源：
2008 FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/IIH-MSP.2008.228
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a robust image watermarking scheme based on curvelet transform is proposed. Considering the frequency and orientational sensitivity of the Human visual System(HVS), we present a HVS model in curvelet domain, which is used to control the embedding strength. The watermark is embedded to the selected coefficients of the curvelet transform, and original image is not required in the extracting process. The experimental results demonstrate that the proposed algorithm can provide excellent robustness against most image processing methods.
引用
收藏
页码：343 / 346
页数：4
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