In this paper we present a new approach to deblur the effect of atmospheric turbulence in the case of long range imaging. Our method is based on an analytical formulation, the Fried kernel, of the atmosphere modulation transfer function (MTF) and a framelet based deconvolution algorithm. An important parameter is the refractive index structure which requires specific measurements to be known. Then we propose a method which provides a good estimation of this parameter from the input blurred image. The final algorithms are very easy to implement and show very good results on both simulated blur and real images.

翻译：本文提出了一种新方法，用于在远距离成像场景中消除大气湍流引起的模糊效应。我们的方法基于大气调制传递函数（MTF）的解析表达式——弗里德核，以及一种基于框架小波的反卷积算法。一个关键参数是折射率结构常数，其值需要通过特定测量才能获知。为此，我们提出了一种方法，能够根据输入的模糊图像对该参数进行有效估计。最终算法实现极为简便，并在模拟模糊图像和真实图像上均展现出优异的效果。