A new approach of blind image restoration

Blurring is inevitable in many image acquisition systems. Blind image restoration is one of deblur methods, and because it does not need a priori point spread function (PSF), it becomes more and more popular. In this paper, a novel method of blind image restoration is presented which can be applied to various kinds of images. The method has no limitation on blurred images, and does not need any extra database supports. Gaussian Blur is assumed to be able to present every other blur, and by successfully dealing with Gaussian Blur, our method can be suitable to deal with other blur methods. In order to reduce the noise, a pre-processing step is introduced. With edge detection, point spread function can be reconstructed automatically. Then an iterative algorithm is used to restore the image. Experimental results show the good performance of this method.

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