Paper
31 July 2023 Dark channel a priori defogging algorithm based on a combination of bright channel inversion and dark channel weighting
Qida Wei, Yunqing Zhou
Author Affiliations +
Proceedings Volume 12747, Third International Conference on Optics and Image Processing (ICOIP 2023); 1274703 (2023) https://doi.org/10.1117/12.2689135
Event: Third International Conference on Optics and Image Processing (ICOIP 2023), 2023, Hangzhou, China
Abstract
The classical traditional dark channel priori algorithm causes colour distortion in bright areas of the sky, snow and other surfaces when processing images, and the overall darkness of the recovered image is complicated, resulting in slow processing speed. In this paper, we propose an adaptive modified dark channel priori defogging algorithm that combines inverse bright channel and dark channel weighting. Firstly, the brightest channel of the RGB channel of the fogged image is inverted, and then the dark channel is weighted and combined with the dark channel to correct the dark channel and adaptively correct the transmittance. Secondly, the mean value of the brightest 0.1% of pixels in the new dark channel is used in estimating atmospheric light values; finally, the transmittance estimation is optimised using multiwindow fitting and guided filtering methods. Experimental results show that the algorithm improves the dark channel priori colour distortion in bright regions, with faster processing and more effective defogging.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qida Wei and Yunqing Zhou "Dark channel a priori defogging algorithm based on a combination of bright channel inversion and dark channel weighting", Proc. SPIE 12747, Third International Conference on Optics and Image Processing (ICOIP 2023), 1274703 (31 July 2023); https://doi.org/10.1117/12.2689135
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KEYWORDS
Image processing

Transmittance

Windows

Tunable filters

Fiber optic gyroscopes

RGB color model

Atmospheric modeling

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