Fast Image Dehazing Using Fuzzy System and Hybrid Evolutionary Algorithm

摘要

A fast approach is proposed for image dehazing using fuzzy system and hybrid evolutionary algorithm through fuzzy contrast enhancement. First, the RGB color space is converted into HSV color space and Gaussian membership function (MF) is used for the fuzzification. Then a parametric sigmoid function is used for the haze image contrast enhancement. Finally, an objective function combining with the entropy and the visual factors is optimal using a hybrid evolutionary algorithm (HEA). HEA is presented based on Partial Swarm Optimization (PSO) algorithm and Genetic algorithm (GA). On comparison, this approach is found applicable for image dehazing and better than the artificial ant colony system (AACS)-based method [1].