Description: Image Enhancement is done to make obscure image clear or draw out what we are interested in,so as to improve the vision sense of image or make the following image processing easier.The nonlinear transform of gray level is an efficient method in the field of image enhancement.This method uses four kinds of transform functions according to different states for the gray level images.To simulate the four kinds of transform functions mentioned above,Tubbs proposed a normalized incomplete Beta function.With the different values of arguments of normalizedincomplete Beta function,different gray-transform functions can be simulated.Butthe previous method to decide arguments is based on endless enumeration and manualacting,which is very complex and unintelligent.
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xitong\evaluate_image_opt.asv
......\evaluate_image_opt.m
......\f.m
......\ga_image_opt.asv
......\ga_image_opt.m
......\image_optimization.asv
......\image_optimization.m
......\imevaluate.m
......\init_ga.asv
......\init_ga.m
......\mutate.asv
......\mutate.m
......\myint.asv
......\myint.m
......\observe.asv
......\qga_image_opt.asv
......\sunlightopenpic.m
......\upgate.asv
......\upgate.m
......\2.bmp
......\1.bmp
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