基于空间自适应正则化和Hopfield网络的图像盲复原方法

本文在研究空间自适应正则化和Hopfield神经网络图像复原算法的基础上，综合两者的优点，提出了一种退化图像的盲复原方案，先对退化图像利用SAR算法进行先验辨识，再利用基于连续函数的全并行自反馈改进Hopfield神经网络算法进行精确的复原。仿真证明，此方案的盲复原结果图像的质量有很大改善。

A Blind Image Restoration Method Based on Space Adaptive Regularization and the Hopfield Network

The image restoration technology based on the Hopfield neural network makes use of neural (network's) outstanding merits in solving optimization problems. This paper proposes a new blind restoration method that firstly makes the prior blur identification that identifies PSF by using the space-adaptive regularization (SAR) method before using the parallel self-feedback neural network based on a continuous function. Experimental results show that this method produces good effect in blind restoration.