基于蛙跳算法的模糊图像恢复

摘要

提出了蛙跳算法,首先划分群体,对当前迭代中最差个体进行更新,增加扰动因子来改善蛙群全局搜索的能力；接着对模糊图像通过傅里叶变换进行恢复,把调节因子与恢复图像清晰程度结合；最后给出了实验仿真.结果表明,蛙跳算法去掉恢复图像的尖锐部分,保护图像细节,在调节因子为0.5时获得最佳清晰度.%In view of the shortcomings of the other algorithms of image restoration, the leapfrog algorithm was proposed. First, division was made, the worst individual in the current iteration was updated, and the disturbance factor was increased to improve the global searching capability of the frog. Then the fussy image was reatored using Fourier transform, and the adjustment factor and the restoration image clarity were integrated. Finally, experimental aimulation was presented. The results show that the leapfrog algorithm removed the sharpness of the image, protected the details of the image, obtaining the best clarity when the regulating factor is at 0. 5.