DocumentCode :
1671318
Title :
On the efficiency of random walk approach to noise reduction in color images
Author :
Smolka, B. ; Szczepanski, M. ; Plataniotis, K.N. ; Venetsanopoulos, A.N.
Author_Institution :
Dept. of Autom. Control, Silesian Univ. of Technol., Gliwice, Poland
Volume :
3
fYear :
2001
fDate :
6/23/1905 12:00:00 AM
Firstpage :
138
Abstract :
We propose a new algorithm of noise reduction in color images. The new technique of multichannel image enhancement is capable of reducing impulse and Gaussian noise and it outperforms the basic methods based on vector median used for noise reduction in color images. A new smoothing operator, based on a random walk model and on a fuzzy similarity measure between pixels connected by a digital geodesic path is introduced. The efficiency of the proposed method was tested on the standard color images using the widely used objective image quality
Keywords :
Gaussian noise; differential geometry; fuzzy set theory; image colour analysis; image enhancement; impulse noise; nonlinear filters; randomised algorithms; smoothing methods; Gaussian noise; color images; digital geodesic path; fuzzy similarity measure; image quality measures; impulse noise; multichannel image enhancement; noise reduction; nonlinear filters; random walk model; smoothing operator; Color; Filtering; Filters; Gaussian noise; Image enhancement; Level measurement; Measurement standards; Noise reduction; Smoothing methods; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
Type :
conf
DOI :
10.1109/ICIP.2001.958070
Filename :
958070
Link To Document :
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