DocumentCode
2605320
Title
Color Image Denoising with Multi-channel Spatial Color Filtering
Author
Meher, Sukadev
Author_Institution
Dept. of Electron. & Commun. Eng., Nat. Inst. of Technol., Rourkela, India
fYear
2010
fDate
24-26 March 2010
Firstpage
284
Lastpage
288
Abstract
A multi-channel circular spatial filter (MCSF) in YCbCr-color space is developed for color image denoising. In [2], Bhoi and Meher proposed and demonstrated that circular spatial filter performed very well for efficient suppression of additive white Gaussian noise (AWGN) from gray images. Here multi-channel versions of the circular spatial filter are proposed and developed. The developed filter is based on three-channel processing (e.g., RGB-processing, YCbCr-processing, etc.). The YCbCr version of MCSF is observed to yield quite superior performance as compared to the other versions in RGB, CMY and CIE Lab color spaces. The proposed filter outperforms the multi-channel versions of existing filters in terms of objective and subjective evaluation measures.
Keywords
AWGN; filtering theory; image colour analysis; image denoising; spatial filters; YCbCr-color space; additive white Gaussian noise suppression; color image denoising; gray images; multichannel circular spatial filter; multichannel spatial color filtering; three-channel processing; AWGN; Additive white noise; Color; Colored noise; Computational modeling; Filtering; Gaussian noise; Kernel; Noise reduction; Spatial filters; additive white Gaussian noise (AWGN); bilateral filter; circular spatial filter; color image denoising; image denoising;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Modelling and Simulation (UKSim), 2010 12th International Conference on
Conference_Location
Cambridge
Print_ISBN
978-1-4244-6614-6
Type
conf
DOI
10.1109/UKSIM.2010.60
Filename
5481199
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