Semi-fragile image watermarking algorithm based on visual features

被引:0
|
作者
Che, Sheng-Bing [1 ]
Ma, Bin [1 ]
Che, Zu-Guo [1 ]
机构
[1] Cent S Univ Forestry & Technol, Coll Comp Sci, Changsha 410004, Peoples R China
关键词
semi-fragile watermarking; human visual feature model; quantized central limit theorem; coefficient redressal; restore probability;
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
In order to improve the invisibility and the robustness of semi-fragile watermark, at first the paper puts forward the. idea which embedded watermark based oil the attacks' characteristic, then the characteristic and its representation in DWT transform domain based oil visual feature model, finally the Quantized Central Limit Theorem which applies to adjusting the coefficients in general transform domain. These all make semi-fragile watermark embedded through dynamic quantization achieve the greatest robustness. It gives DWT coefficient redressal algorithm and the best restore probability of the pixel value adjusting in experiments when the images are under attack. It leads lip to a better invisibility of carrier image and a better robustness to the image processing, such as JPEG compression, noise ad dingo filtering and a larger amount of embedded information. What's more, the watermark bits are quarter of original image's size, and it can ascertain the position of vicious attack exactly.
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页码:382 / 387
页数:6
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