Paper Info
Title
Fuzzy based diffusion coefficient function in anisotropic diffusion for impulse noise removal
Abstract
This paper provides the use of rule based fuzzy scheme to define a new diffusion coefficient function in anisotropic diffusion for impulse noise removal with edge preservation. This is achieved by expressing the small, medium and large labels of second order pixel differences in fuzzy format. An aggregated output membership function of percentage of noisiness is then obtained by selecting an optimal linguistic value of second order pixel difference during inference process. The pixels have been classified as homogeneous, edge and noisy pixels based on the degrees of noisiness of the output membership functions. To achieve desired smoothing of the impulse noisy images with homogeneous background, the new diffusion coefficient function in anisotropic diffusion is redefined to vary it in accordance with the degrees of noisiness of the output membership functions. The experimental results have been compared with existing anisotropic diffusion methods as well as advanced median filtering method. It is observed through experimental results that the proposed method works satisfactorily for images having impulsive noise density upto 50%.
Year
DOI
Venue
2012
10.1145/2425333.2425400
ICVGIP
Keywords
Field
DocType
fuzzy format,edge preservation,order pixel difference,anisotropic diffusion method,aggregated output membership function,fuzzy scheme,new diffusion coefficient function,anisotropic diffusion,impulse noise removal,output membership function,fuzzy sets
Anisotropic diffusion,Median filter,Impulse (physics),Fuzzy set,Impulse noise,Artificial intelligence,Mathematical optimization,Pattern recognition,Algorithm,Smoothing,Noise spectral density,Membership function,Mathematics
Conference
Citations 
PageRank 
References 
2
0.37
20
Authors
3
Name
Order
Citations
PageRank
Nafis uddin Khan1182.76
K. V. Arya228928.09
Manisha Pattanaik33916.13