Non-uniform haze removal from polarized images based on generative adversarial networks

Yang Song; En Lin; Qiuyan Yao; Hua Sun; Tao Sun

doi:10.1117/12.3012077

21 December 2023 Non-uniform haze removal from polarized images based on generative adversarial networks

Yang Song, En Lin, Qiuyan Yao, Hua Sun, Tao Sun

Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 129702L (2023) https://doi.org/10.1117/12.3012077
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China

Abstract

Environmental conditions with smoke severely degrade the image quality, obscuring numerous features and fine details in polarimetric images. Hence, the process of smoke removal and the recovery of polarized information in polarimetric images are of paramount importance. To address this issue, the paper proposes a novel smoke removal algorithm for polarimetric images based on Generative Adversarial Networks. It successfully restores the polarized intensity responses of four distinct polarization angles, captured by a focused plane polarimetric camera in a smoke-free environment, making the recovered images indistinguishable from those captured without smoke. Experimental validation demonstrates the superiority of the proposed method over existing classical smoke removal algorithms in terms of both subjective visual quality evaluation and objective performance metrics. The method achieves remarkable results on a natural visible light polarimetric smoke image dataset.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yang Song, En Lin, Qiuyan Yao, Hua Sun, and Tao Sun "Non-uniform haze removal from polarized images based on generative adversarial networks", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 129702L (21 December 2023); https://doi.org/10.1117/12.3012077

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KEYWORDS

Polarization

Polarimetry

Convolution

Atmospheric modeling

Air contamination

Image quality

Polarization imaging

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