Computational Technology Resources - CCC

J. Arnal, D. Ibarra, "A Parallel Hybrid Method to Reduce Gaussian Noise in Computed Tomography Medical Images", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Eighth International Conference on Parallel, Distributed, GPU and Cloud Computing for Engineering", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 12, Paper 2.6, 2025,

Keywords: parallel computing, image processing, medical imaging, computed tomography, noise reduction, Gaussian noise.

Abstract

A hybrid filter to remove Gaussian noise from computed tomography medical images is presented. The method combines in an efficient manner the advantages of two denoising filters. In addition, a parallel filter based on this method is presented. Implementation of the parallel algorithm on multi-core platform using Open Multi-Processing is presented. Efficiency is measured in terms of execution time and in terms of Peak Signal-to-Noise Ratio over medical computed tomography images. Experimental results show that Gaussian noise is reduced efficiently and image details are preserved. The parallel implementation is compared to the sequential one, obtaining significative values of speed-up.

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Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 12 PROCEEDINGS OF THE EIGHTH INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, GPU AND CLOUD COMPUTING FOR ENGINEERING Edited by: P. Iványi, J. Kruis and B.H.V. Topping Paper 2.6 A Parallel Hybrid Method to Reduce Gaussian Noise in Computed Tomography Medical Images J. Arnal and D. Ibarra Department of Computer Science and Artificial Intelligence, University of Alicante, Spain Full Bibliographic Reference for this paper J. Arnal, D. Ibarra, "A Parallel Hybrid Method to Reduce Gaussian Noise in Computed Tomography Medical Images", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Eighth International Conference on Parallel, Distributed, GPU and Cloud Computing for Engineering", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 12, Paper 2.6, 2025, Keywords: parallel computing, image processing, medical imaging, computed tomography, noise reduction, Gaussian noise. Abstract A hybrid filter to remove Gaussian noise from computed tomography medical images is presented. The method combines in an efficient manner the advantages of two denoising filters. In addition, a parallel filter based on this method is presented. Implementation of the parallel algorithm on multi-core platform using Open Multi-Processing is presented. Efficiency is measured in terms of execution time and in terms of Peak Signal-to-Noise Ratio over medical computed tomography images. Experimental results show that Gaussian noise is reduced efficiently and image details are preserved. The parallel implementation is compared to the sequential one, obtaining significative values of speed-up. download the full-text of this paper (PDF, 8185 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
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