Image processing methods to increase the distinguishability of objects

I. I. Galtsev; A. I. Elizarov; A. V. Shaleev

doi:10.1117/12.2688653

17 October 2023 Image processing methods to increase the distinguishability of objects

I. I. Galtsev, A. I. Elizarov, A. V. Shaleev

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Proceedings Volume 12780, 29th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 127800E (2023) https://doi.org/10.1117/12.2688653
Event: XXIX International Symposium "Atmospheric and Ocean Optics, Atmospheric Physics", 2023, Moscow, Russian Federation

Abstract

Currently, there are no such image registration systems that would provide perfect quality. Therefore, an important stage in the tasks of computer vision and the development of image analysis systems is preprocessing. At this initial stage, it is necessary to use various techniques to improve the image quality acceptable for further analysis and processing. The methods of image pre-processing are considered, both “classical”, element-by-element, and modern, based on the use of artificial intelligence methods, designed to eliminate various kinds of distortions. This study was supported by the Ministry of Science and Higher Education of the Russian Federation.

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I. I. Galtsev, A. I. Elizarov, and A. V. Shaleev "Image processing methods to increase the distinguishability of objects", Proc. SPIE 12780, 29th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 127800E (17 October 2023); https://doi.org/10.1117/12.2688653

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KEYWORDS

Image processing

Image enhancement

Artificial neural networks

Image filtering

Image contrast enhancement

Denoising

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