Title :
Edge-Preserving Filtering for Grey and Color Image
Author :
Huang, Xing-Fang ; Zhang, Jiang-She
Author_Institution :
Dept. of Inf. Sci., Xi´´an Jiaotong Univ., Xi´´an, China
fDate :
March 31 2009-April 2 2009
Abstract :
In this paper, we proposed a novel local adaptive noise reduction operator based on a location shifting procedure. The proposed method aims at removing noise from images while preserving features. Performance of the method is illustrated by simulation and real images which show an encouraging improvement compared with other methods. The other advantages of the proposed method are its non- iterative feature, explicit formulation, and, consequently, its numerical simplicity.
Keywords :
filtering theory; image colour analysis; image denoising; color image; edge-preserving filtering; explicit formulation; grey image; local adaptive noise reduction operator; location shifting procedure; noniterative feature; numerical simplicity; Adaptive filters; Clustering algorithms; Color; Filtering; Image denoising; Kernel; Low pass filters; Noise reduction; Noise robustness; Smoothing methods; bilateral filtering; denoising; kernel regression; mean shift filtering; median filtering;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.631