DocumentCode :
3574317
Title :
Performance of the decision based algorithm for the removal of unequal probability salt and pepper noise in images
Author :
Kumar, R. Ram ; Vasanth, K. ; Rajesh, V.
Author_Institution :
Dept. of E.C.E, M.V. Inst. of Technol., Pondicherry, India
fYear :
2014
Firstpage :
1360
Lastpage :
1365
Abstract :
A Decision based unsymmetrical trimmed variants is proposed for the elimination of unequal probability salt and pepper noise in gray scale images. The proposed algorithm replaces the corrupted pixels with unsymmetrical trimmed median or midpoint based on the noisy pixels in the current processing window. The proposed algorithm shows excellent noise elimination capability with good detail preserving nature. The proposed algorithm exhibits high PSNR, SSEVI.
Keywords :
image denoising; probability; PSNR; SSEVI; decision based unsymmetrical trimmed variants; gray scale images; unequal probability salt and pepper noise; unsymmetrical trimmed median; Filtering algorithms; Mathematical model; Maximum likelihood detection; Noise; Noise measurement; Nonlinear filters; Signal processing algorithms; Unequal probability Salt and pepper noise; Unsymmetrical trimmed variants; detail preserving; noise removal;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuit, Power and Computing Technologies (ICCPCT), 2014 International Conference on
Print_ISBN :
978-1-4799-2395-3
Type :
conf
DOI :
10.1109/ICCPCT.2014.7054869
Filename :
7054869
Link To Document :
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