Image dehazing algorithm for image partition optimization based on generalized Gaussian function

Xiaoxia Du; Kai Liu; Yongqing Huang; Xiaofeng Duan; Qi Wang

doi:10.1117/12.3020748

25 March 2024 Image dehazing algorithm for image partition optimization based on generalized Gaussian function

Xiaoxia Du, Kai Liu, Yongqing Huang, Xiaofeng Duan, Qi Wang

Proceedings Volume 13089, Fifteenth International Conference on Graphics and Image Processing (ICGIP 2023); 130890F (2024) https://doi.org/10.1117/12.3020748
Event: Fifteenth International Conference on Graphics and Image Processing (ICGIP 2023), 2023, Suzhou, China

Abstract

In this paper, we propose a method to remove the imaging ambiguity caused by scattering in foggy days based on the utilization of generalized Gaussian function. We use the generalized Gaussian function to simulate the light transmission performance in foggy weather and then obtain its attenuation charateristics for further achieving image defogging results. We also propose a zonal dehazing method according to the distribution of fog in hazed image, thereby further improving the quality of the dehazing image. We use real fog data sets to quantitatively analyze and visualize the results. The simulation results show that the image information entropy and visible edge ratio obtained by the algorithm are improved, which verifies the effectiveness and superiority of the proposed algorithm.

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

Citation Download Citation

Xiaoxia Du, Kai Liu, Yongqing Huang, Xiaofeng Duan, and Qi Wang "Image dehazing algorithm for image partition optimization based on generalized Gaussian function", Proc. SPIE 13089, Fifteenth International Conference on Graphics and Image Processing (ICGIP 2023), 130890F (25 March 2024); https://doi.org/10.1117/12.3020748

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