Single image haze removal using sharpness evaluation index

YiGuo Huang; HuaRong Xu; WenLong Zhu; LiFen Weng

doi:10.1117/12.2636943

29 April 2022 Single image haze removal using sharpness evaluation index

YiGuo Huang, HuaRong Xu, WenLong Zhu, LiFen Weng

Proceedings Volume 12247, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2022); 122470G (2022) https://doi.org/10.1117/12.2636943
Event: 2022 International Conference on Image, Signal Processing, and Pattern Recognition, 2022, Guilin, China

Abstract

In order to reproduce clear scenes of visible light images in hazy weather, and effectively suppress the image contrast and clarity degradation caused by haze degradation. General defogging methods do not take into account the uneven distribution of fog concentration and defog the whole image directly. Outdoor scenes of defogging is required to take into account the distribution of fog concentration. In this paper, a natural image defogging method for clarity evaluation indicators is proposed. We select representative indicators for fog concentration classification based on depth information and also obtain global transmittance maps. Compared with traditional method and the deep learning defogging method, The results outperform the other algorithms in different metrics. Experiments show that our results outperform other algorithms in various metrics and are robust to inhomogeneous fog.

Citation Download Citation

YiGuo Huang, HuaRong Xu, WenLong Zhu, and LiFen Weng "Single image haze removal using sharpness evaluation index", Proc. SPIE 12247, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2022), 122470G (29 April 2022); https://doi.org/10.1117/12.2636943

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KEYWORDS

Atmospheric modeling

Air contamination

Fiber optic gyroscopes

Data modeling

Image transmission

Visual process modeling

Image restoration

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