DocumentCode :
2503464
Title :
Nonlinear filters for noise reduction in image signals
Author :
Kimura, T. ; Nakamura, S. ; Goto, T. ; Hirano, S. ; Sakurai, M.
Author_Institution :
Dept. of Comput. Sci. & Eng., Nagoya Inst. of Technol., Nagoya, Japan
fYear :
2012
fDate :
2-5 Oct. 2012
Firstpage :
619
Lastpage :
620
Abstract :
In this study, we investigate the performance of several nonlinear filters for noise reduction in image signals. We find that the total variation (TV) regularization filter exhibits the best performance for effective noise reduction and picture quality preservation. We analyze the behavior of the TV regularization filter and elucidate how noise is reduced effectively without losing edge sharpness or picture minuteness.
Keywords :
image denoising; nonlinear filters; TV regularization filter; edge sharpness losing; image signal; noise reduction; nonlinear filter; picture minuteness; picture quality preservation; total variation regularization filter; Equations; Low pass filters; Mathematical model; Noise reduction; PSNR; TV;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (GCCE), 2012 IEEE 1st Global Conference on
Conference_Location :
Tokyo
Print_ISBN :
978-1-4673-1500-5
Type :
conf
DOI :
10.1109/GCCE.2012.6379932
Filename :
6379932
Link To Document :
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