Adaptive Blind Image Restoration Algorithm of Degraded Image

In order to overcome the problems of typical image restoration methods´  being confined, the large estimation error of PSF and the complex computation in blind image restoration methods, an adaptive blind image restoration algorithm is proposed. According to the feature that the certain blur may lead to the specific frequency component distortion of the image Fourier spectrum, the degraded images are classified first: for the usual types of blur, such as motion blur, defocus blur and gaussian blur, we estimate the PSF with corresponding method first and then restore it with restoration method of Wiener filter; while for others, we use an improved NAS-RIF blind restoration algorithm. The method combines the typical methods and blind methods of image restoration, achieving the adaptive blind image restoration. Experimental results indicate that the algorithm not only reduces the calculation quantity, but has strong effectively and good adaptively.