A Catastrophic Genetic Algorithm for Super-resolution Image Restoration
基于灾变遗传算法的超分辨率图像恢复

Due to the lack of population diversity,the simple genetic algorithm often leads to the premature convergence and affects restoration results when applying the algorithm in super-resolution image restoration.A catastrophis genetic algorithm for super-resolution image restoration is proposed which takes the fitness value standard deviation as the catastrophic condition and the conjuate gradient algorithm as the catastrophic operatro.The operator recreates the population and improves the population diversity.After analyzing the catastrophic condition and the catastrophic scale,the method to adjust catastrophic condition according to the number of genrations is proposed.The experiments demonstrated the effectiveness of the algorithm.