中文说明：本文针对灰度图像的盲复原问题进行了一些研究，介绍了两种不同的图像盲复 原处理的方法。一种是误差一参数分析法，该方法适合于辨识可以用参数来表征的 点扩散函数，如线性移动模型和Gauss模型等，然后根据估计的参数确定退化图像 的点扩’散函数，再利用常规的复原算法(如维纳滤波法)对退化图像进行复原处理 另一种是非负支撑域约束递归逆滤波(NAS-R工F)算法，文中介绍了NAS-R工F算法 的基本思想，并结合正则化的思想，提出了NAS-RIF的改进算法，相应对该算法的 性能效果进行了仿真分析。 1.图像去噪MATLAB仿真程序.m 2.图像点扩展函数获取MATLAB仿真程序.m 3.约束最小二乘法图像复原MATLAB仿真程序.m
English Description：
In this paper, the problem of gray image blind restoration is studied, and two different methods of image blind restoration are introduced. One is the error parameter analysis method, which is suitable for identifying the point spread function which can be represented by parameters, such as linear moving model and Gauss model. Then the point spread function of the degraded image is determined according to the estimated parameters, and then the conventional restoration algorithm (such as Wiener filter method) is used to restore the degraded image The other is the non negative support domain constrained recursive inverse filtering (NAS-RIF) algorithm. This paper introduces the basic idea of NAS-RIF algorithm, and proposes an improved NAS-RIF algorithm combined with the idea of regularization. The performance of the algorithm is simulated and analyzed. 1. Matlab simulation program for image denoising. M 2. Matlab simulation program for image PSF acquisition. M 3. Matlab simulation program for constrained least squares image restoration. M