Digital anti-aliasing trapezoidal recursively separable image processing filter with resizable scanning multi-element aperture

Authors

DOI:

https://doi.org/10.25206/1813-8225-2024-189-127-136

Keywords:

digital image processing, recursively separable filters, sharpening, quality assessment, performance

Abstract

In this article, we will consider and compare methods for eliminating distortions in the original images obtained from an unmanned aerial vehicle. The main goal of these methods is to increase the contrast and accuracy of determining the coordinates of objects of interest relative to the background. To conduct the study, aerial work was performed, during which initial images of the underlying surface with different exposure times were obtained, as well as data from the unmanned aerial vehicle navigation module. Further, cameral processing of the received materials was carried out. The exact centers for photographing each image were calculated and orthophotomaps of the area were built. Then we evaluated the contrast and accuracy of determining the coordinates of objects of interest relative to the background on the orthophotomaps of the area built from the original and restored images using various methods.

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Author Biographies

Kamenskiy Andrey Viktorovich, Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia

Candidate of Technical Sciences, Associate Professor of Television and Management Department, Associate Professor of Digital Television Department, Tomsk State University of Control Systems and Radioelectronics (TUSUR), Tomsk.

Rylov Kirill Aleksandrovich, Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia

Graduate Student, Assistant of Television and Management Department, TUSUR, Tomsk.

Borodina Natalya, Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia

Graduate Student, Assistant of Television and Management Department, TUSUR, Tomsk.

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Abstract views: 69

Published

2024-02-26

How to Cite

[1]
Kamenskiy А.В., Rylov К.А. and Borodina Н. 2024. Digital anti-aliasing trapezoidal recursively separable image processing filter with resizable scanning multi-element aperture. Omsk Scientific Bulletin. 1(189) (Feb. 2024), 127–136. DOI:https://doi.org/10.25206/1813-8225-2024-189-127-136.

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Section

Electronics, Photonics, Instrument Engineering and Connection