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A Circular Adaptive Median Filter for Salt and Pepper Noise Suppression from MRI Images

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Title A Circular Adaptive Median Filter for Salt and Pepper Noise Suppression from MRI Images
 
Creator Sagar, Priya
Upadhyaya, Ashruti
Mishra, Sudhansu Kumar
Pandey, Rudra Narayan
Sahu, Sitanshu Sekhar
Panda, Ganapati
 
Subject Adaptive filter
Median filter
MRI
PSNR
Statistical analysis
 
Description 941-944
An adaptive median filter with a circular kernel, named as circular adaptive median filter (CAMF) is proposed in this article, for denoising of magnetic resonance imaging (MRI) images corrupted by salt and pepper noise of varying noise densities. An adaptive operation is incorporated in the proposed filter by varying the size of the circular kernel according to the requirement. The effectiveness of the CAMF is compared with six other competitive networks, i.e., conic adaptive median filter (CoAMF), decision based filter (DBF), modified switching median filter (MSWM), recursive adaptive modified filter (RAMF), plus adaptive median filter (PAMF), and cross adaptive median filter (CrAMF). The performance of all the models is analyzed using peak signal to noise ratio (PSNR) and computational time. Moreover, a non-parametric statistical test is conducted to illustrate the pair wise comparison of other filter with the proposed one. It is observed that the proposed approach has demonstrated superior performance with respect to the two performance measures.
 
Date 2020-10-13T08:26:50Z
2020-10-13T08:26:50Z
2020-10
 
Type Article
 
Identifier 0975-1084 (Online); 0022-4456 (Print)
http://nopr.niscair.res.in/handle/123456789/55470
 
Language en_US
 
Rights CC Attribution-Noncommercial-No Derivative Works 2.5 India
 
Publisher NISCAIR-CSIR, India
 
Source JSIR Vol.79(10) [October 2020]