Paper Info
Title
An enhanced decision based Unsymmetric Trimmed Median Filter for removal of high density salt and papper noise
Abstract
This paper proposes a new algorithm for restoration of gray scale images corrupted by salt and pepper noise(SPN). The proposed algoritm identifies a pixel as noisy if its intensity value is 0 or 255 and processes it using pixels in a 3×3 window. If the window consists of noisy and non-noisy pixels, then the pixel to be processed is replaced with the trimmed median value of the non-noisy pixels. However, if only noisy pixels are there in the window then their mean value is used to process the pixel. The proposed method uses processed (i.e. the de-noised) pixels in the window while processing the noisy pixels and shows significantly better performance, particularly at high noise density, as compared to various methods reported in literature. Experimental results show improvements both visually and quantitatively compared to other reported methods.
Year
DOI
Venue
2015
10.1109/NCVPRIPG.2015.7490011
2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)
Keywords
Field
DocType
Impulse noise,salt and pepper noise,Image de-noising,Median filter,asymmetric trimmed median filter,Decision based filter
Computer vision,Median filter,Pattern recognition,Computer science,High density,Salt-and-pepper noise,Artificial intelligence,Noise spectral density,Pixel,Impulse noise,Bilateral filter,Grayscale
Conference
ISSN
Citations 
PageRank 
2372-658X
0
0.34
References 
Authors
5
2
Name
Order
Citations
PageRank
Shruti Singh100.34
Anil Kumar Tiwari26517.51