采用简单遗传算法进行超分辨率图像恢复时，往往由于种群多样性的不足而导致早熟收敛，得到的图像恢复质量不理想。针对该问题，提出了一种基于灾变遗传算法求解高分辨率图像最优估计的方法。在简单遗传算法的基础上，该算法以适应值方差作为灾变的判断条件，将共轭梯度算法作为灾变算子重新构建种群，从而增加了种群多样性。同时对灾变条件和灾变规模进行了分析，并且给出了根据进化代数自适应调节灾变条件的方法。仿真实验表明了该算法的有效性。

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.