DocumentCode :
2403691
Title :
An efficient color image denoising method for Gaussian and impulsive noises with blur removal
Author :
Muthukumar, S. ; Pasupathi, P. ; Deepa, S. ; Krishnan, N.
Author_Institution :
CITE, Manonmaniam Sundaranar Univ., Tirunelveli, India
fYear :
2010
fDate :
28-29 Dec. 2010
Firstpage :
1
Lastpage :
4
Abstract :
This paper is about the restoration of color image which is blurred and degraded by Gaussian and impulsive noise. The proposed method uses adaptive median filters with structural information are used to find the impulsive noise pixels. The total variation minimization algorithm is used to remove the Gaussian noise and blurring and restores the image. This proposed method will restore the image very effectively with preserving the structural information and fine details. ere all three degradation problems are dealt with, and by using Conditional Signal Adaptive Median Filter we received more competitive result in comparison with existing methods.
Keywords :
Gaussian noise; adaptive filters; image colour analysis; image denoising; image restoration; impulse noise; median filters; optimisation; Gaussian noise; adaptive median filter; blur removal; color image denoising method; image restoration; impulsive noise; impulsive noise pixel; total variation minimization algorithm; Color; Gaussian noise; Image restoration; Minimization; Pixel; TV; Adaptive Median Filter; Blur removal; Convolution; Denoising; Filtering; Image enhancement; Restoration; Total Variance; color image processing; impulse noise removal;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Computing Research (ICCIC), 2010 IEEE International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4244-5965-0
Electronic_ISBN :
978-1-4244-5967-4
Type :
conf
DOI :
10.1109/ICCIC.2010.5705908
Filename :
5705908
Link To Document :
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