Nighttime image dehazing based on improved erosion dark channel and multi-scale clipping limit histogram equalization
Jing-Ming Guo, Chia-Hsiang Lin · 2021
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.