Unsupervised polarization dehazing algorithm through controlled degradation

Changxiang Wang; Jinshan Ma

doi:10.1117/12.3041044

11 September 2024 Unsupervised polarization dehazing algorithm through controlled degradation

Changxiang Wang, Jinshan Ma

Proceedings Volume 13253, Fourth International Conference on Signal Image Processing and Communication (ICSIPC 2024); 132531A (2024) https://doi.org/10.1117/12.3041044
Event: 4th International Conference on Signal Image Processing and Communication, 2024, Xi'an, China

Abstract

Polarization imaging technology is widely utilized in imaging scattering media because it can capture more dimensional information compared to intensity imaging. In this study, we propose an unsupervised polarization dehazing network to tackle the challenge of low performance exhibited by dehazing networks trained on synthetic datasets when applied in real-world scenarios. The network parameters are updated solely using foggy images. Based on the atmospheric scattering model, foggy images are degraded in two dimensions: increasing distance and multiplying attenuation. The dependency relationship between the atmospheric scattering model parameters before and after image degradation is derived, and the network parameters are updated accordingly. The atmospheric scattering model is then inverted to restore the fogless image based on the atmospheric light at infinity and transmission map estimated by the network. The experimental results demonstrate that this algorithm surpasses existing algorithms in various no-reference image evaluation metrics and visual performance.

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

Citation Download Citation

Changxiang Wang and Jinshan Ma "Unsupervised polarization dehazing algorithm through controlled degradation", Proc. SPIE 13253, Fourth International Conference on Signal Image Processing and Communication (ICSIPC 2024), 132531A (11 September 2024); https://doi.org/10.1117/12.3041044

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KEYWORDS

Atmospheric modeling

Polarization

Light scattering

Image fusion

Signal attenuation

Image processing

Image quality

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