Abstract: 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.Iterative blind deconvolution has produced an obvious result in suppressing noise spread and reserving the edge information，but it can not remove noise effectively without knowing the point spread function and noise，which lead to image restoration with poor effects.Taking the characteristics of blind restoration into account，a combined approach of blind image restoration is put forward，which can solve the problem that iterative blind deconvolution can not remove noise effectively.Finally，experimental results prove feasibility and validity of the method.

Key words: Blind Image Restoration（BIR）, iterative algorithm, Fast-Fourier Transform（FFT）, Point Speard Function（PSF）, wavelet analysis

摘要： 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地研究。迭代盲解卷积在抑制噪声放大与保留图像边缘信息有很好的效果，但在不知道点扩展函数并有噪声的情况下并不能有效的去除噪声导致图像恢复效果很差。针对图像盲复原的特点，提出了一种复合算法，该算法有效地解决了迭代盲解卷积的去噪问题，最后通过实验验证了算法的可行性和有效性。

关键词: 图像盲复原, 迭代盲解卷积, 快速傅里叶变换, 点扩展函数, 小波分析