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Efficient Restoration of Magnetic Resonance Images Corrupted with Impulse Noise using Spatial Constraints based Fuzzy Decision Filter

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Title Efficient Restoration of Magnetic Resonance Images Corrupted with Impulse Noise using Spatial Constraints based Fuzzy Decision Filter
 
Creator Saxena, Priyank
Kumar, R Sukesh
 
Subject Decision-based filter
Edge preservation
Image restoration
Intensity-based fuzzy estimation
Spatial fuzzy C-means clustering
 
Description 642-651
Magnetic Resonance (MR) images are subject to unavoidable noises during the data acquisition due to imperfections of
device components and trade-offs in the scan parameters. The study proposes a two-step Fuzzy Decision-Based Filter (FDBF)
as a post-reconstruction technique to mitigate random valued impulse noise from MR images. The FDBF employs a Spatial
Fuzzy C-means (SFCM) clustering for detection and an Intensity Based Fuzzy Estimation (IBFE) technique for restoration.
Firstly, SFCM integrates the spatial relation of the adjacent pixels into the membership function to form three separate clusters.
The IBFE technique leaves the noise-free cluster unaltered while restoring the remaining in the second step. IBFE incorporates
neighbor pixel correlation to restore the corrupted pixel leading to edge preservation. To assess the efficacy of the intended
method both the quality metrics and the observed quality of the restored images are considered. The suggested detection
strategy using SFCM performs very well, up to a 93% corruption level with zero false and miss detection rates even when there
is intensity in homogeneity among pixels. Compared to other existing filtering techniques, the proposed two-step restoration
method significantly improves the perceived image quality and other image quality metrics of the restored image without
obliterating more intricate details and finer structures. FDBF considers the spatial information of the nearby pixels during the
detection and restoration processes, which is essential for MR image restoration.
 
Date 2023-06-06T10:34:02Z
2023-06-06T10:34:02Z
2023-06
 
Type Article
 
Identifier 0022-4456 (Print); 0975-1084 (Online)
http://nopr.niscpr.res.in/handle/123456789/62009
https://doi.org/10.56042/jsir.v82i06.1971
 
Language en
 
Publisher NIScPR-CSIR, India
 
Source JSIR Vol.82(06) [June 2023]