Digital anti-aliasing trapezoidal recursively separable image processing filter with resizable scanning multi-element aperture
https://doi.org/10.25206/1813-8225-2024-189-127-136
EDN: HQKVYT
Abstract
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.
Keywords
digital image processing,
recursively separable filters,
sharpening,
quality assessment,
performance
Supporting agencies: The study is supported by the Russian Science Foundation grant No. 21-79-10200 at TUSUR.
About the Authors
A. V. Kamenskiy
Tomsk State University of Control Systems and Radioelectronics
Russian Federation
Russian Federation
Kamenskiy Andrey Viktorovich, Candidate of Technical Sciences, Associate Professor of Television and Management Department, Associate Professor of Digital Television Department
AuthorID (RSCI): 1057825
AuthorID (SCOPUS): 57191031758
Tomsk
K. A. Rylov
Tomsk State University of Control Systems and Radioelectronics
Russian Federation
Russian Federation
Rylov Kirill Aleksandrovich, Graduate Student, Assistant of Television and Management Department
AuthorID (SCOPUS): 57214750784
Tomsk
N. Borodina
Tomsk State University of Control Systems and Radioelectronics
Russian Federation
Russian Federation
Borodina Natalya, Graduate Student, Assistant of Television and Management Department
AuthorID (SCOPUS): 57815608800
Tomsk
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Review
For citations:
Kamenskiy AV, Rylov KA, Borodina N. Digital anti-aliasing trapezoidal recursively separable image processing filter with resizable scanning multi-element aperture. Omsk Scientific Bulletin. 2024;(1):127-136. (In Russ.) https://doi.org/10.25206/1813-8225-2024-189-127-136. EDN: HQKVYT
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