A Hybrid Approach for CT-MR Brain Image Denoising Using PSO-Optimised Non-Local Means and Wiener Filtering - Figure 3. Denoised image output of the Brain MR image2 with σ=0.1 (a) Original image (b) Noisy image (c) Median Filter (d) Gaussian Filter (e) Wiener Filter (f) Non-Local Means filter (g) Particle Swarm Optimised Non-Local Means filter (h) Particle Swarm Optimised Non-Local Means Wiener filter

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Main Authors: Preena Prasad, Valer Niminet, Anitha J
Format: Recurso digital
Published: Zenodo 2024
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author Preena Prasad
Valer Niminet
Anitha J
author_facet Preena Prasad
Valer Niminet
Anitha J
contents <p>Four images included in this paper are named Brain MR image1, Brain MR image2, Brain CT image1, and Brain CT image2. Original images were added with Gaussian noise of S.D. (σ) of 0.1, 0.2, 0.3, 0.4, and 0.5. Quantitative analysis results of various denoising filters and algorithms are presented in Tables 1, 2, and 3. Denoised images produced for various filtering techniques are depicted in Figures 2, 3, 4, 5, 6, 7, 8, 9, and 10.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_14760091
institution Zenodo
language
publishDate 2024
publisher Zenodo
record_format zenodo
spellingShingle A Hybrid Approach for CT-MR Brain Image Denoising Using PSO-Optimised Non-Local Means and Wiener Filtering - Figure 3. Denoised image output of the Brain MR image2 with σ=0.1 (a) Original image (b) Noisy image (c) Median Filter (d) Gaussian Filter (e) Wiener Filter (f) Non-Local Means filter (g) Particle Swarm Optimised Non-Local Means filter (h) Particle Swarm Optimised Non-Local Means Wiener filter
Preena Prasad
Valer Niminet
Anitha J
medical image denoising
non local means denoising
hybrid denoising
particle swarm optimization
peak signal to noise ratio
Weiner filter
<p>Four images included in this paper are named Brain MR image1, Brain MR image2, Brain CT image1, and Brain CT image2. Original images were added with Gaussian noise of S.D. (σ) of 0.1, 0.2, 0.3, 0.4, and 0.5. Quantitative analysis results of various denoising filters and algorithms are presented in Tables 1, 2, and 3. Denoised images produced for various filtering techniques are depicted in Figures 2, 3, 4, 5, 6, 7, 8, 9, and 10.</p>
title A Hybrid Approach for CT-MR Brain Image Denoising Using PSO-Optimised Non-Local Means and Wiener Filtering - Figure 3. Denoised image output of the Brain MR image2 with σ=0.1 (a) Original image (b) Noisy image (c) Median Filter (d) Gaussian Filter (e) Wiener Filter (f) Non-Local Means filter (g) Particle Swarm Optimised Non-Local Means filter (h) Particle Swarm Optimised Non-Local Means Wiener filter
topic medical image denoising
non local means denoising
hybrid denoising
particle swarm optimization
peak signal to noise ratio
Weiner filter
url https://doi.org/10.5281/zenodo.14760091