Algorithm for automatic removal of static weather phenomena based on a bilateral filter
https://doi.org/10.55648/1998-6920-2024-18-4-43-51
Abstract
This article is devoted to the preprocessing of images obtained in poor visibility conditions. Phenomena such as fog or haze can significantly reduce the accuracy of neural networks designed to detect objects. Thus, preventing systems based on computer vision from functioning normally. In this work, an algorithm was implemented for automatic removal of static weather phenomena based on a bilateral filter. The algorithm was tested on a neural network trained to recognize road signs.
About the Authors
G. E. Edel
Tomsk State University of Control Systems and Radioelectronics (TSUCSR)
Russian Federation
Russian Federation
German E. Edel - Postgraduate Student of the Department of Television and Control, Engineer of the Laboratory of Television and Automation,
40, Lenin Ave., Tomsk, 634050.
M. E. Sukotnova
Tomsk State University of Control Systems and Radioelectronics (TSUCSR)
Russian Federation
Russian Federation
Marina E. Sukotnova - Master, Engineer of the Laboratory of Television and Automation,
40, Lenin Ave., Tomsk, 634050.
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Review
For citations:
Edel G.E., Sukotnova M.E. Algorithm for automatic removal of static weather phenomena based on a bilateral filter. The Herald of the Siberian State University of Telecommunications and Information Science. 2024;18(4):43-51. (In Russ.) https://doi.org/10.55648/1998-6920-2024-18-4-43-51
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