RESEARCH ARTICLE
Comparative Analysis of Bilateral Filter and its Variants for Magnetic Resonance Imaging
Bobbinpreet Kaur1, Ayush Dogra2, *, Bhawna Goyal1
Article Information
Identifiers and Pagination:
Year: 2020Volume: 13
First Page: 21
Last Page: 29
Publisher ID: TONIJ-13-21
DOI: 10.2174/1874440002013010021
Article History:
Received Date: 25/4/2020Revision Received Date: 3/8/2020
Acceptance Date: 5/8/2020
Electronic publication date: 09/11/2020
Collection year: 2020
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Background:
With the increase in research in the direction of making images noise free a number of algorithms have been designed.
Methods:
The choice of Denoising method will be made in such a way that it reduces or removes noise content on one hand and on the other hand it preserves the information content of the image. Our article focuses on analyzing the performance of bilateral filters and its derivatives for Denoising of MRI images.
Results:
The bilateral filter is a hybridized version of basic range filtering and domain filtering techniques.
Conclusion:
A comparative review of these filters is presented for MRI images taking different altitudes of Gaussian noise added to the image.