Adaptive Fuzzy Enhancement for Images by Genetic Algorithm
Liu Yu-feng · Journal of Optoelectronics·laser · 2007
A new image quality measurement function is presented by fuzzy theory.We use it as the fitness function of genetic algorithm to adaptively optimize the parameter α and β in in-complete Beta function.Thus an optimal gray transformation curve is obtained to enhance a gray image.HSI color pattern is used to enahnce color image by expanding the algorithm of enhancing the gray image.Whatever a gray image and a color image,experiemental results show that this method can effectively enhance the global contrast of the image while keeping details of the image well,which has higher adaptability.For a gray image,compared with the classical image enhancement methods and some existing similar methods,this method is better.For a color image,this method can acquire clear color image and keep the original color information,and the image quality is better than photoshop.