Optimal Bilateral Filtering of CT Images
In this paper a general optimization algorithm is proposed for tuning the parameters of a bilateral filter when processing Computed Tomography images, containing Additive White Gaussian Noise. The Peak Signal to Noise Ratio and the Structural Similarity Index Measure are the target parameters during...
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Published in | 2021 International Conference on Computational Science and Computational Intelligence (CSCI) pp. 1668 - 1672 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.12.2021
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Subjects | |
Online Access | Get full text |
DOI | 10.1109/CSCI54926.2021.00053 |
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Abstract | In this paper a general optimization algorithm is proposed for tuning the parameters of a bilateral filter when processing Computed Tomography images, containing Additive White Gaussian Noise. The Peak Signal to Noise Ratio and the Structural Similarity Index Measure are the target parameters during the optimization with the explicit aim of achieving their maximums. The operation of the optimal configuration of the bilateral filter is compared with the results from filtering of the same images with the Gaussian and average filters. Positive results are obtained and the proposed optimization is considered applicable not only for Computed Tomography images, but also for Magnetic Resonance Imaging, multispectral and hyperspectral images. |
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AbstractList | In this paper a general optimization algorithm is proposed for tuning the parameters of a bilateral filter when processing Computed Tomography images, containing Additive White Gaussian Noise. The Peak Signal to Noise Ratio and the Structural Similarity Index Measure are the target parameters during the optimization with the explicit aim of achieving their maximums. The operation of the optimal configuration of the bilateral filter is compared with the results from filtering of the same images with the Gaussian and average filters. Positive results are obtained and the proposed optimization is considered applicable not only for Computed Tomography images, but also for Magnetic Resonance Imaging, multispectral and hyperspectral images. |
Author | Gancheva, Veska Draganov, Ivo |
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Snippet | In this paper a general optimization algorithm is proposed for tuning the parameters of a bilateral filter when processing Computed Tomography images,... |
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StartPage | 1668 |
SubjectTerms | AWGN bilateral filter Computed tomography CT image Filtering Magnetic separation Noise measurement object preservation optimization PSNR Scientific computing |
Title | Optimal Bilateral Filtering of CT Images |
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