采用Zernike多项式进行波前复原,并作为点扩散函数的初值,结合图像先验信息和参数估计改进最大似然估计法,对模拟的湍流退化图像进行复原实验。实验结果表明,相比于Lucy-Richardson和盲卷积算法,该算法复原后图像的灰度平均梯度有明显提高。
Zernike polynomial is applied for wavefront reconstruction which is taken as the initial value of the point spread function.With the prior information of images and the improved maximum likelihood estimation,experiment is carried for simulation of turbulence degraded images restoration.The results indicate that image gray mean gradient is obvious improved compared with that of Lucy-Richardson and blind deconvolution algorithm.