Fig. 9From: Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram EqualizationLB-CLAHE’s high performance according to the IQA techniques in different contrast scenarios. Heavy decrease in contrast (A), mean decrease in contrast (B), slight decrease in contrast (C), increase in contrast (D). Ideal image (1), distorted image (2), global HE (3), fixed CLAHE with CL=0.01 and NT=[8,8] (4), proposed LB-CLAHE (5)Back to article page