DocumentCode
2624285
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
Volume
5
fYear
2009
fDate
March 31 2009-April 2 2009
Firstpage
139
Lastpage
143
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location
Los Angeles, CA
Print_ISBN
978-0-7695-3507-4
Type
conf
DOI
10.1109/CSIE.2009.631
Filename
5170513
Link To Document