Digital anti-aliasing trapezoidal recursively separable image processing filter with resizable scanning multi-element aperture
The development of television systems is an important factor for many industries involved in the acquisition, processing, storage and transmission of images. Today, an urgent task in the use of such systems is to improve the quality of images obtained using digital photo and video cameras. To sol...
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| Format: | Article |
| Language: | English |
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Omsk State Technical University, Federal State Autonoumos Educational Institution of Higher Education
2024-02-01
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| Series: | Омский научный вестник |
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| Online Access: | https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2024/%E2%84%961%20(189)%20(%D0%9E%D0%9D%D0%92)/127-136%20%D0%9A%D0%B0%D0%BC%D0%B5%D0%BD%D1%81%D0%BA%D0%B8%D0%B9%20%D0%90.%20%D0%92.,%20%20%D0%A0%D1%8B%D0%BB%D0%BE%D0%B2%20%D0%9A.%20%D0%90.%20,%20%D0%91%D0%BE%D1%80%D0%BE%D0%B4%D0%B8%D0%BD%D0%B0%20%D0%9D..pdf |
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| author | A. V. Kamenskiy K. A. Rylov N. Borodina |
| author_facet | A. V. Kamenskiy K. A. Rylov N. Borodina |
| author_sort | A. V. Kamenskiy |
| collection | DOAJ |
| description | The development of television systems is an important factor for many industries
involved in the acquisition, processing, storage and transmission of images. Today,
an urgent task in the use of such systems is to improve the quality of images
obtained using digital photo and video cameras. To solve this problem, digital
recursive-separable smoothing filters can be used. The paper describes the process
of operation of the algorithm for changing the size of the scanning multi-element
aperture of a smoothing trapezoidal recursive-separable filter for digital image
processing. The results of evaluating its performance relative to the same algorithm
implemented through classical two-dimensional convolution for various sizes of test
images are presented. The influence of the aperture size of the developed filter on
the change in the signal-to-noise ratio is assessed. The algorithm is implemented in
the MATLAB computing environment. |
| format | Article |
| id | doaj-art-bfa16e51731041dfbe3cae97001bfa5c |
| institution | Kabale University |
| issn | 1813-8225 2541-7541 |
| language | English |
| publishDate | 2024-02-01 |
| publisher | Omsk State Technical University, Federal State Autonoumos Educational Institution of Higher Education |
| record_format | Article |
| series | Омский научный вестник |
| spelling | doaj-art-bfa16e51731041dfbe3cae97001bfa5c2025-02-03T08:01:22ZengOmsk State Technical University, Federal State Autonoumos Educational Institution of Higher EducationОмский научный вестник1813-82252541-75412024-02-011 (189)12713610.25206/1813-8225-2024-189-127-136Digital anti-aliasing trapezoidal recursively separable image processing filter with resizable scanning multi-element apertureA. V. Kamenskiy0https://orcid.org/0000-0001-6587-7776 K. A. Rylov1https://orcid.org/0009-0001-5936-535XN. Borodina2https://orcid.org/0000-0002-6134-9877Tomsk State University of Control Systems and RadioelectronicsTomsk State University of Control Systems and RadioelectronicsTomsk State University of Control Systems and RadioelectronicsThe development of television systems is an important factor for many industries involved in the acquisition, processing, storage and transmission of images. Today, an urgent task in the use of such systems is to improve the quality of images obtained using digital photo and video cameras. To solve this problem, digital recursive-separable smoothing filters can be used. The paper describes the process of operation of the algorithm for changing the size of the scanning multi-element aperture of a smoothing trapezoidal recursive-separable filter for digital image processing. The results of evaluating its performance relative to the same algorithm implemented through classical two-dimensional convolution for various sizes of test images are presented. The influence of the aperture size of the developed filter on the change in the signal-to-noise ratio is assessed. The algorithm is implemented in the MATLAB computing environment.https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2024/%E2%84%961%20(189)%20(%D0%9E%D0%9D%D0%92)/127-136%20%D0%9A%D0%B0%D0%BC%D0%B5%D0%BD%D1%81%D0%BA%D0%B8%D0%B9%20%D0%90.%20%D0%92.,%20%20%D0%A0%D1%8B%D0%BB%D0%BE%D0%B2%20%D0%9A.%20%D0%90.%20,%20%D0%91%D0%BE%D1%80%D0%BE%D0%B4%D0%B8%D0%BD%D0%B0%20%D0%9D..pdfdigital image processingrecursively separable filterssharpeningquality assessmentperformance |
| spellingShingle | A. V. Kamenskiy K. A. Rylov N. Borodina Digital anti-aliasing trapezoidal recursively separable image processing filter with resizable scanning multi-element aperture Омский научный вестник digital image processing recursively separable filters sharpening quality assessment performance |
| title | Digital anti-aliasing trapezoidal recursively separable image processing filter with resizable scanning multi-element aperture |
| title_full | Digital anti-aliasing trapezoidal recursively separable image processing filter with resizable scanning multi-element aperture |
| title_fullStr | Digital anti-aliasing trapezoidal recursively separable image processing filter with resizable scanning multi-element aperture |
| title_full_unstemmed | Digital anti-aliasing trapezoidal recursively separable image processing filter with resizable scanning multi-element aperture |
| title_short | Digital anti-aliasing trapezoidal recursively separable image processing filter with resizable scanning multi-element aperture |
| title_sort | digital anti aliasing trapezoidal recursively separable image processing filter with resizable scanning multi element aperture |
| topic | digital image processing recursively separable filters sharpening quality assessment performance |
| url | https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2024/%E2%84%961%20(189)%20(%D0%9E%D0%9D%D0%92)/127-136%20%D0%9A%D0%B0%D0%BC%D0%B5%D0%BD%D1%81%D0%BA%D0%B8%D0%B9%20%D0%90.%20%D0%92.,%20%20%D0%A0%D1%8B%D0%BB%D0%BE%D0%B2%20%D0%9A.%20%D0%90.%20,%20%D0%91%D0%BE%D1%80%D0%BE%D0%B4%D0%B8%D0%BD%D0%B0%20%D0%9D..pdf |
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