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CLC number: TP317.4

On-line Access: 2009-11-30

Received: 2009-03-12

Revision Accepted: 2009-06-19

Crosschecked: 2009-09-29

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Journal of Zhejiang University SCIENCE C 2010 Vol.11 No.1 P.36-44


Improved switching based filter for protecting thin lines of color images

Author(s):  Chang-cheng WU, Chun-yu ZHAO, Da-yue CHEN

Affiliation(s):  School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Corresponding email(s):   zhaocy@sjtu.edu.cn

Key Words:  Vector median filter (VMF), Thin lines, Impulse noise, Color image

Chang-cheng WU, Chun-yu ZHAO, Da-yue CHEN. Improved switching based filter for protecting thin lines of color images[J]. Journal of Zhejiang University Science C, 2010, 11(1): 36-44.

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author="Chang-cheng WU, Chun-yu ZHAO, Da-yue CHEN",
journal="Journal of Zhejiang University Science C",
publisher="Zhejiang University Press & Springer",

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%T Improved switching based filter for protecting thin lines of color images
%A Chang-cheng WU
%A Chun-yu ZHAO
%A Da-yue CHEN
%J Journal of Zhejiang University SCIENCE C
%V 11
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%@ 1869-1951
%D 2010
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C0910145

T1 - Improved switching based filter for protecting thin lines of color images
A1 - Chang-cheng WU
A1 - Chun-yu ZHAO
A1 - Da-yue CHEN
J0 - Journal of Zhejiang University Science C
VL - 11
IS - 1
SP - 36
EP - 44
%@ 1869-1951
Y1 - 2010
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.C0910145

The classical vector median filter (VMF) has been widely used to remove impulse noise from color images. However, since the VMF cannot identify thin lines during the denoising process, many thin lines may be removed out as noise. This serious problem can be solved by a newly proposed filter that uses a noise detector to find these thin lines and then keep them unchanged. In this new approach, the noise detection scheme applied on a current processed pixel is realized through counting the close pixels in its eight neighbor positions and the expanded window to see whether the current pixel is corrupted by impulse noise. Based on the previous outputs, our algorithm can increase the performance in detecting and canceling the impulse noise. Extensive experiments indicate that this approach can be used to remove the impulse noise from a color image without distorting the useful information.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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