关键词: 粗糙自适应模型, 遗传算法, 算子优化, 图像恢复, 适应度函数

Abstract: As for the Simple Genetic Algorithm (SGA) in the image restoration application, a new method was proposed to deal with the problem of low matching degree and different matching values, which could make it difficult to obtain the required solutions. This method sorting the matching value into two types of light and shade from the searching solution space was composed by the SGA and the Rough Adaptive Algorithm (RAA).Then in order to enhance the robustness of image recovery algorithm, the two types were dealt with respectively by the rough adaptive model on the basis of the sorting value. Compared with the inverse filter, Wiener filter and SGA, the proposed method has better image edge and higher PSNR.

Key words: Rough-Adaptive model, Genetic Algorithm (GA), operator optimum, image restoration, fitness function