当点扩展函数未知或不确知的情况下，从观察到的退化图像中恢复原始图像的过程称为图像盲复原。近年来，图像盲复原算法得到了广泛的研究。本文首先根据点扩展函数的特点，将图像盲复原算法分为单通道盲复原算法、空间不变多通道盲复原算法和空间变化图像盲复原算法等3种类型；然后讨论了3种算法的研究现状并指出了现有各种算法的优缺点，最后通过研究总结出以下结论：现有算法的改进以及新的算法研究、基于非线性退化模型的算法研究、去噪处理算法研究、实时处理算法以及算法的应用研究是今后进一步研究的发展方向。

When point spread function(PSF)is not known or only partially determined, restoration of the degraded images is called blind image restoration (BIR). In recent years, BIR algorithms (BIRA) have been studied widely. In this paper, BIRA is classified into three kinds: single channel BIRA with space-invariant PSF, multi-channel BIRA with space-invariant PSF and BIRA with space-variant PSF, according to the characteristic of PSF. The actual research status of BIRA is discussed in detail. Here, advantages and disadvantages of BIRA are also pointed out. After researching on the techniques, some results and conclusions are given as follow: improvement for the existing BIR methods, development a new techniques, the research based on degradation model with non-linear characteristic, the removal noise, the real time algorithm and their applications are the challenges and further research tendency.