High-speed recursive-separable image processing filters
The development of modern technologies in the field of image formation leads to an increase in the size of the generated images, as a result the question of reducing the processing computational costs arises, and this is an important factor in the creation of real-time systems. The study provides a...
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| Format: | Article |
| Language: | English |
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Samara National Research University
2022-08-01
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| Series: | Компьютерная оптика |
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| Online Access: | https://computeroptics.ru/eng/KO/Annot/KO46-4/460418e.html |
| _version_ | 1827786676604239872 |
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| author | A.V. Kamenskiy |
| author_facet | A.V. Kamenskiy |
| author_sort | A.V. Kamenskiy |
| collection | DOAJ |
| description | The development of modern technologies in the field of image formation leads to an increase in the size of the generated images, as a result the question of reducing the processing computational costs arises, and this is an important factor in the creation of real-time systems. The study provides a description of high-speed recursive-separable filters for improving the quality of images, which, due to the peculiarities of their implementation, can reduce the number of computational operations required for the image processing process. This type of filters is obtained from two-dimensional linear digital filters, which are modified by applying recursive and separable properties to them. The MATLAB environment computing method for implementation of these filters is described. An extensive performance research of the developed filters has been carried out at various sizes of the test image and on various experimental installations. The comparison with the classical two-dimensional convolution method of the developed filters is demonstrated, and it shows the time gain required for the image processing. The results obtained can be applied in biomedical image processing systems or in vision systems working in heavy weather conditions. |
| first_indexed | 2024-03-11T16:38:39Z |
| format | Article |
| id | doaj.art-e2514868a8e84d54a93be2600466e86a |
| institution | Directory Open Access Journal |
| issn | 0134-2452 2412-6179 |
| language | English |
| last_indexed | 2024-03-11T16:38:39Z |
| publishDate | 2022-08-01 |
| publisher | Samara National Research University |
| record_format | Article |
| series | Компьютерная оптика |
| spelling | doaj.art-e2514868a8e84d54a93be2600466e86a2023-10-23T13:12:27ZengSamara National Research UniversityКомпьютерная оптика0134-24522412-61792022-08-0146465966510.18287/2412-6179-CO-1063High-speed recursive-separable image processing filtersA.V. Kamenskiy0FSBEO HE «Tomsk State University of Control Systems and Radioelectronics»The development of modern technologies in the field of image formation leads to an increase in the size of the generated images, as a result the question of reducing the processing computational costs arises, and this is an important factor in the creation of real-time systems. The study provides a description of high-speed recursive-separable filters for improving the quality of images, which, due to the peculiarities of their implementation, can reduce the number of computational operations required for the image processing process. This type of filters is obtained from two-dimensional linear digital filters, which are modified by applying recursive and separable properties to them. The MATLAB environment computing method for implementation of these filters is described. An extensive performance research of the developed filters has been carried out at various sizes of the test image and on various experimental installations. The comparison with the classical two-dimensional convolution method of the developed filters is demonstrated, and it shows the time gain required for the image processing. The results obtained can be applied in biomedical image processing systems or in vision systems working in heavy weather conditions.https://computeroptics.ru/eng/KO/Annot/KO46-4/460418e.htmlimage processingrecursive-separable algorithmscomputational costs reductioncomputer vision |
| spellingShingle | A.V. Kamenskiy High-speed recursive-separable image processing filters Компьютерная оптика image processing recursive-separable algorithms computational costs reduction computer vision |
| title | High-speed recursive-separable image processing filters |
| title_full | High-speed recursive-separable image processing filters |
| title_fullStr | High-speed recursive-separable image processing filters |
| title_full_unstemmed | High-speed recursive-separable image processing filters |
| title_short | High-speed recursive-separable image processing filters |
| title_sort | high speed recursive separable image processing filters |
| topic | image processing recursive-separable algorithms computational costs reduction computer vision |
| url | https://computeroptics.ru/eng/KO/Annot/KO46-4/460418e.html |
| work_keys_str_mv | AT avkamenskiy highspeedrecursiveseparableimageprocessingfilters |