Image dehazing algorithm based on airport image quality evaluation

Siyuan Lei; Yueping Zhang

doi:10.1117/12.3052259

30 December 2024 Image dehazing algorithm based on airport image quality evaluation

Siyuan Lei, Yueping Zhang

Author Affiliations +

Proceedings Volume 13394, International Workshop on Automation, Control, and Communication Engineering (IWACCE 2024); 133940G (2024) https://doi.org/10.1117/12.3052259
Event: International Workshop on Automation, Control, and Communication Engineering (IWACCE 2024), 2024, Hohhot, China

Abstract

Heavy hazy weather blurs airport or target images obtained through visible light photoelectricity sensors, and hazy images reduce the efficiency of target recognition. With the deployment of panoramic systems and takeoff and landing monitoring systems in the test field, the research on image dehazing algorithms has increasingly crucial theoretical significance and practical application value. In this paper, we propose an image dehazing method based on the Double Discriminator Generative Adversarial Network (DDGAN-DF), which generates multi-layer semantic awareness and produces highquality, reliable haze-free images.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Siyuan Lei and Yueping Zhang "Image dehazing algorithm based on airport image quality evaluation", Proc. SPIE 13394, International Workshop on Automation, Control, and Communication Engineering (IWACCE 2024), 133940G (30 December 2024); https://doi.org/10.1117/12.3052259

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