Image Denoising Based on Adaptive and Multi-frame Averaging Filtering

被引:3
|
作者
Xie Qinlan [1 ]
Chen Hong [2 ]
机构
[1] South Cent Univ Nationalities, Coll Elect & Informat Engn, Wuhan, Peoples R China
[2] South Cent Univ Nationalites, Coll Chem & Mat, Wuhan, Peoples R China
来源
2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL III, PROCEEDINGS | 2009年
关键词
Adaptive image filtering; Bilateral filtering; Steering kernel filtering; Multi-frame averaging filtering; Image denoising;
D O I
10.1109/AICI.2009.490
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
To deal with some problem of existing single-frame denoising methods, a adaptive spatial filtering method for denoising of multi-fame images is presented. Firstly each frame is processed by adaptive filters to suppressive noise and to preserve the edge simultaneity. Then each frame of image is filtered by averaging the same pixels of multi-frame to denoise fartherly and alleviate the cartoon-like impacts. Three filters including adaptive filtering on signal-frame, simple mean filtering of multi-frame, and adaptive filtering combined with averaging filtering, are tested by two experiments. The results show that the latter improved the performance of denoising compared with the former two methods.
引用
收藏
页码:523 / +
页数:2
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