Image Contrast Enhancement using Fuzzy Logic with Metaheuristics
Mohimenul Kabir, Jaiaid Mobin, Ahmad B. A. Hassanat, M. Sohel Rahman · 2024
In this work, we present a method to enhance image contrast using a fuzzy logic-based transformation function.Our goal is to develop an image-specific transformation by tuning the fuzzy system.We employ Hill Climbing and Genetic Algorithms in various configurations to evolve the fuzzy system, conducting multiple experiments.Different variants of our method are tested on several images, and the two variants with the highest fitness scores are selected.Additionally, we compare against existing contrast enhancement technique and conduct a survey to evaluate the visual improvements made by these two variants.The survey results indicate that one method effectively enhances image contrast visually.