Edge-Preserving Filtering for Grey and Color Image

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 improv...

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Bibliographic Details
Published in2009 WRI World Congress on Computer Science and Information Engineering Vol. 5; pp. 139 - 143
Main Authors Xing-Fang Huang, Jiang-She Zhang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2009
Subjects
Adaptive filters
bilateral filtering
Clustering algorithms
Color
denoising
Filtering
Image denoising
Kernel
kernel regression
Low pass filters
mean shift filtering
median filtering
Noise reduction
Noise robustness
Smoothing methods
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Summary: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.
ISBN:9780769535074
0769535070
DOI:10.1109/CSIE.2009.631