Denoising Method for MRI Images Using Modified BM3D Filter with Complex Network and Artificial Neural Networks
Noise is an undesirable and disturbing effect that degrades the quality of an image. The importance of noise reduction in images and its wide-ranging applications are essential. Most popular image noise filters rely on static parameters that are often challenging to fine-tune. Dynamically adapting t...
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| Format: | Article |
| Language: | English |
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Wiley
2024-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2024/2606485 |
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| _version_ | 1832553205496545280 |
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| author | Trong-Thanh Han Hinh Nguyen Van Phat Nguyen Huu |
| author_facet | Trong-Thanh Han Hinh Nguyen Van Phat Nguyen Huu |
| author_sort | Trong-Thanh Han |
| collection | DOAJ |
| description | Noise is an undesirable and disturbing effect that degrades the quality of an image. The importance of noise reduction in images and its wide-ranging applications are essential. Most popular image noise filters rely on static parameters that are often challenging to fine-tune. Dynamically adapting these static parameters for image noise filters is a critical area of research. In this study, a combination model between the features of complex networks and artificial neural networks is proposed to automatically find the noise reduction parameter of the block-matching and 3D filtering method. Experimental results on the black and white MRI image set have shown that the model correctly predicted the parameters of the BM3D filter and removed the noise in the images of those MRI images. The model gave high denoising results with PSNR of 51.94 and SSIM of 0.998. |
| format | Article |
| id | doaj-art-8872c482fd1a4618983f79abd853500f |
| institution | Kabale University |
| issn | 2090-0155 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-8872c482fd1a4618983f79abd853500f2025-02-03T05:54:35ZengWileyJournal of Electrical and Computer Engineering2090-01552024-01-01202410.1155/2024/2606485Denoising Method for MRI Images Using Modified BM3D Filter with Complex Network and Artificial Neural NetworksTrong-Thanh Han0Hinh Nguyen Van1Phat Nguyen Huu2School of Electrical and Electronic EngineeringDepartment of Science and Technology Management and International CooperationSchool of Electrical and Electronic EngineeringNoise is an undesirable and disturbing effect that degrades the quality of an image. The importance of noise reduction in images and its wide-ranging applications are essential. Most popular image noise filters rely on static parameters that are often challenging to fine-tune. Dynamically adapting these static parameters for image noise filters is a critical area of research. In this study, a combination model between the features of complex networks and artificial neural networks is proposed to automatically find the noise reduction parameter of the block-matching and 3D filtering method. Experimental results on the black and white MRI image set have shown that the model correctly predicted the parameters of the BM3D filter and removed the noise in the images of those MRI images. The model gave high denoising results with PSNR of 51.94 and SSIM of 0.998.http://dx.doi.org/10.1155/2024/2606485 |
| spellingShingle | Trong-Thanh Han Hinh Nguyen Van Phat Nguyen Huu Denoising Method for MRI Images Using Modified BM3D Filter with Complex Network and Artificial Neural Networks Journal of Electrical and Computer Engineering |
| title | Denoising Method for MRI Images Using Modified BM3D Filter with Complex Network and Artificial Neural Networks |
| title_full | Denoising Method for MRI Images Using Modified BM3D Filter with Complex Network and Artificial Neural Networks |
| title_fullStr | Denoising Method for MRI Images Using Modified BM3D Filter with Complex Network and Artificial Neural Networks |
| title_full_unstemmed | Denoising Method for MRI Images Using Modified BM3D Filter with Complex Network and Artificial Neural Networks |
| title_short | Denoising Method for MRI Images Using Modified BM3D Filter with Complex Network and Artificial Neural Networks |
| title_sort | denoising method for mri images using modified bm3d filter with complex network and artificial neural networks |
| url | http://dx.doi.org/10.1155/2024/2606485 |
| work_keys_str_mv | AT trongthanhhan denoisingmethodformriimagesusingmodifiedbm3dfilterwithcomplexnetworkandartificialneuralnetworks AT hinhnguyenvan denoisingmethodformriimagesusingmodifiedbm3dfilterwithcomplexnetworkandartificialneuralnetworks AT phatnguyenhuu denoisingmethodformriimagesusingmodifiedbm3dfilterwithcomplexnetworkandartificialneuralnetworks |