Title :
Image Denoising Based on Adaptive Filtering and Multi-frame Averaging Filtering
Author :
Qinlan, Xie ; Hong, Chen
Author_Institution :
Coll. of Electron. & Inf. Eng., South-Central Univ. For Nat., Wuhan, China
Abstract :
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.
Keywords :
adaptive filters; image denoising; spatial filters; adaptive spatial filtering method; image denoising; multiframe averaging filtering; Adaptive filters; Educational institutions; Electronic mail; Image denoising; Information filtering; Information filters; Kernel; Noise reduction; Signal denoising; Wiener filter; Adaptive image filtering; Bilateral filtering; Image denoising; Multi-frame averaging filtering; Steering kernel filtering;
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
DOI :
10.1109/AICI.2009.490