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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2024
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| _version_ | 1866901841062658048 |
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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 |
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| 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 |