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