High-speed recursive-separable image processing filters with variable scanning aperture sizes
In the process of development of computer technologies, the number of areas of their application naturally grows and, along with it, the complexity of the tasks to be solved, which entails the need for new research. Similar tasks include digital filtering of images in the field of medical technologi...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Samara National Research University
2023-08-01
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| Series: | Компьютерная оптика |
| Subjects: | |
| Online Access: | https://computeroptics.ru/eng/KO/Annot/KO47-4/470412e.html |
| _version_ | 1797359524137402368 |
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| author | A.V. Kamenskiy M.I. Kuryachiy A.S. Krasnoperova Yu.V. Ilyin T.M. Akaeva S.E. Boyarkin |
| author_facet | A.V. Kamenskiy M.I. Kuryachiy A.S. Krasnoperova Yu.V. Ilyin T.M. Akaeva S.E. Boyarkin |
| author_sort | A.V. Kamenskiy |
| collection | DOAJ |
| description | In the process of development of computer technologies, the number of areas of their application naturally grows and, along with it, the complexity of the tasks to be solved, which entails the need for new research. Similar tasks include digital filtering of images in the field of medical technologies and active-pulse television measuring systems. There are many methods and algorithms of digital filtering designed to solve the problem of improving the quality; algorithms that can improve the quality of images while reducing computational costs are widely used. High demands, which are made due to the constant growth in the size of the generated images, as well as the requirement for modern television systems, is real-time operation. When solving practical problems, it is required to use different filter aperture sizes, which provide an increase in quality and preservation of image details. The solution of these problems was the reason for the emergence of adaptive filters that are able to change the parameters in the process of processing the received data, while not spending additional time on processing with an increase in the size of the aperture. The paper presents the principles of constructing adaptive image processing filters, which, by obtaining an input parameter indicating the required dimension of a multi-element aperture, are able to implement the construction of the required aperture. The Laplacian “Truncated Pyramid” filter and the “double pyramid” Laplacian were modified. A feature of these filters is the oddness of the multi-element aperture, so the coefficient used to build the mask is always set to odd. When using these filters, it is possible to use two coefficients that are responsible for increasing the filtration efficiency, since, in their original form, the Laplacian filters have a sum of coefficients equal to zero. The experiment shows a comparison with high-dimensional filters that work when using classical two-dimensional convolution. The next stage of the presented research will be the application of parallel computing techniques, which will increase the speed of the developed filters. |
| first_indexed | 2024-03-08T15:25:03Z |
| format | Article |
| id | doaj.art-ee70253c1eb14c2db0054cf11428e8ae |
| institution | Directory Open Access Journal |
| issn | 0134-2452 2412-6179 |
| language | English |
| last_indexed | 2024-03-08T15:25:03Z |
| publishDate | 2023-08-01 |
| publisher | Samara National Research University |
| record_format | Article |
| series | Компьютерная оптика |
| spelling | doaj.art-ee70253c1eb14c2db0054cf11428e8ae2024-01-10T10:35:15ZengSamara National Research UniversityКомпьютерная оптика0134-24522412-61792023-08-0147460561310.18287/2412-6179-CO-1240High-speed recursive-separable image processing filters with variable scanning aperture sizesA.V. Kamenskiy0M.I. Kuryachiy1A.S. Krasnoperova2Yu.V. Ilyin3T.M. Akaeva4S.E. Boyarkin5FSBEO HE «Tomsk State University of Control Systems and Radioelectronics»FSBEO HE «Tomsk State University of Control Systems and Radioelectronics»FSBEO HE «Tomsk State University of Control Systems and Radioelectronics»FSBEO HE «Tomsk State University of Control Systems and Radioelectronics»FSBEO HE «Tomsk State University of Control Systems and Radioelectronics»FSBEO HE «Tomsk State University of Control Systems and Radioelectronics»In the process of development of computer technologies, the number of areas of their application naturally grows and, along with it, the complexity of the tasks to be solved, which entails the need for new research. Similar tasks include digital filtering of images in the field of medical technologies and active-pulse television measuring systems. There are many methods and algorithms of digital filtering designed to solve the problem of improving the quality; algorithms that can improve the quality of images while reducing computational costs are widely used. High demands, which are made due to the constant growth in the size of the generated images, as well as the requirement for modern television systems, is real-time operation. When solving practical problems, it is required to use different filter aperture sizes, which provide an increase in quality and preservation of image details. The solution of these problems was the reason for the emergence of adaptive filters that are able to change the parameters in the process of processing the received data, while not spending additional time on processing with an increase in the size of the aperture. The paper presents the principles of constructing adaptive image processing filters, which, by obtaining an input parameter indicating the required dimension of a multi-element aperture, are able to implement the construction of the required aperture. The Laplacian “Truncated Pyramid” filter and the “double pyramid” Laplacian were modified. A feature of these filters is the oddness of the multi-element aperture, so the coefficient used to build the mask is always set to odd. When using these filters, it is possible to use two coefficients that are responsible for increasing the filtration efficiency, since, in their original form, the Laplacian filters have a sum of coefficients equal to zero. The experiment shows a comparison with high-dimensional filters that work when using classical two-dimensional convolution. The next stage of the presented research will be the application of parallel computing techniques, which will increase the speed of the developed filters.https://computeroptics.ru/eng/KO/Annot/KO47-4/470412e.htmlimage processingrecursively separable filtersmulti-element aperturesreduction of computational costsmachine visionmedical optics and biotechnologyvision systems in difficult weather conditions |
| spellingShingle | A.V. Kamenskiy M.I. Kuryachiy A.S. Krasnoperova Yu.V. Ilyin T.M. Akaeva S.E. Boyarkin High-speed recursive-separable image processing filters with variable scanning aperture sizes Компьютерная оптика image processing recursively separable filters multi-element apertures reduction of computational costs machine vision medical optics and biotechnology vision systems in difficult weather conditions |
| title | High-speed recursive-separable image processing filters with variable scanning aperture sizes |
| title_full | High-speed recursive-separable image processing filters with variable scanning aperture sizes |
| title_fullStr | High-speed recursive-separable image processing filters with variable scanning aperture sizes |
| title_full_unstemmed | High-speed recursive-separable image processing filters with variable scanning aperture sizes |
| title_short | High-speed recursive-separable image processing filters with variable scanning aperture sizes |
| title_sort | high speed recursive separable image processing filters with variable scanning aperture sizes |
| topic | image processing recursively separable filters multi-element apertures reduction of computational costs machine vision medical optics and biotechnology vision systems in difficult weather conditions |
| url | https://computeroptics.ru/eng/KO/Annot/KO47-4/470412e.html |
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