ROBUST BLIND WATERMARK ALGORITHM OF COLOR IMAGE BASED ON NEURAL NETWORK

被引：0
|
作者：
Hu, Xuelong [1 ,2 ]
Lian, Xu [1 ]
Chen, Lin [3 ]
Zheng, Yongai [1 ]
机构：
[1] Yangzhou Univ, Sch Informat Engn, Jiangsu 225009, Peoples R China
[2] Nanjing Univ Posts & Commun, Jiangsu Prov Key Lab Image Proc & Image Commun, Nanjing 210003, Jiangsu, Peoples R China
[3] Shanghai Univ Elect Power, Shanghai 200090, Peoples R China
来源：
2008 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS AND SIGNAL PROCESSING, VOLS 1 AND 2 | 2007年
关键词：
Blind watermarking; Wavelet significant tree; Arnold transform; BP neural network (BPNN);
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A new algorithm of color image blind watermarking based on BP neural network and wavelet significant tree is proposed. In YCbCr, the luminance component is decomposed with wavelet, and the wavelet significant tree can be found. Then the correlativity among nodes of wavelet significant tree is described by the nonlinear relationship responded by the trained BP neural network. Based on the relationship, the watermark is embedded into wavelet significant trees. Finally, the embedded watermark can be extracted without original image. The experimental results show that the embedded watermark can be extracted preferably in some common attacks, and this algorithm has better transparency and stronger robustness with some comparisons to other algorithms.
引用
收藏
页码：430 / +
页数：2
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