A novel image denoising method for matched filtering system

被引:0
作者
Xin, Xu [1 ]
机构
[1] Chongqing Elect Power Res Inst, Chongqing 401123, Peoples R China
来源
INFORMATION TECHNOLOGY APPLICATIONS IN INDUSTRY, PTS 1-4 | 2013年 / 263-266卷
关键词
image denoising; matched filtering; low-frequency coherent noise;
D O I
10.4028/www.scientific.net/AMM.263-266.2469
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
One method is proposed to remove the random noise and low-frequency coherent noise in the images of the optic 4f system, which is based on fusion of multiple spatial frequency spectrum images. The multiple spatial frequency spectrum images of once experiment are captured based on the image copying character from the lattice structure of spatial light modulators, which contains the same useful image information and noise with the similar distribution but different values. The random noise and coherent noise in these images are removed by combining it utilizing image fusion technique, which is similar to cumulative mean in time domain. The theoretical analysis and physical experiment suggests that the method is able to remove random noise and low-frequency coherent noise effectively and reserve the useful image information.
引用
收藏
页码:2469 / 2476
页数:8
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