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In this paper, a new night dehazing strategy is proposed by modifying the transmission and atmospheric light conditions. To suppress the local light sources, a Gaussian based atmospheric light model is developed along with erosion filters to improve the traditional atmospheric light factors. A similar erosion operator is also utilized for transmission to refine, and the model is combined with a multi-scale clipping limit of ICLAHE to obtain an optimal nighttime dehazing effect. The experimental results confirm that the proposed strategy performs better in comparison to state-of-the-art techniques and is computationally less intensive.
Jing-Ming Guo andChia-Hsiang Lin
"Nighttime image dehazing based on improved erosion dark channel and multi-scale clipping limit histogram equalization", Proc. SPIE 11766, International Workshop on Advanced Imaging Technology (IWAIT) 2021, 117663A (13 March 2021); https://doi.org/10.1117/12.2591325
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Jing-Ming Guo, Chia-Hsiang Lin, "Nighttime image dehazing based on improved erosion dark channel and multi-scale clipping limit histogram equalization," Proc. SPIE 11766, International Workshop on Advanced Imaging Technology (IWAIT) 2021, 117663A (13 March 2021); https://doi.org/10.1117/12.2591325