基于遗传算法和模糊控制的图像盲复原方法

A blind image restoration method based on the genetic algorithm and the fuzzy controller

针对空间移变降质的点扩散函数类型未知且加性噪声严重的情况,提出一种基于遗传算法和模糊控制的盲复原方法.算法采用三角形网格划分子图像块,通过标准遗传算法和微种群遗传算法交替进化的方式分别估计点扩散函数及其对应的子图像块,并在标准遗传算法每一代进化结束时利用参数模型对估计的最佳点扩散函数进行基于模糊控制的修正,而在微种群遗传算法每次迭代后对最佳子图像块进行基于直方图统计的修正.实验结果表明,与点扩散函数已知且不含修正步骤的恢复算法相比,该算法具有更好的的复原效果.

A blind image restoration method based on the genetic algorithm （GA） and the fuzzy controller （FC） is proposed for the situation were the type of space variant blur is unknown ana the additive noise is serious. The image is divided into blocks by the triangle meshes. The standard genetic algorithm （SGA） and the micro genetic algorithm （micro-GA） are used to estimate the point spread functions （PSF） and their corresponding image blocks alternately. At each generation of SGA, the best estimated PSF is corrected by the FC, so does the best estimated image block according to the histogram statistics during the iterations of micro-GA. Experiment results show that the presented method can restore the space variant blurred images effectively, and its power of suppressing noise is also strong.