Haze Removal Method Based on Joint Transmission Map Estimation and Atmospheric-Light Extraction
Andrei Filin, Inessa Gracheva, Andrey Kopylov · 2020
This paper proposes a new computationally effective method of haze removal based on joint transmission map estimation and atmospheric-light extraction using the probabilistic gamma-normal model. The enhanced version of universal atmospheric light extractor allows reducing the influence of localized light sources to result of processing. Experimental results show that the proposed method has comparable quality results and lower computation time than other haze removal methods.