Blind Single-Image Super Resolution Reconstruction with Defocus Blur

Abstract

A blind single-image super resolution method is proposed to enhance the spatial resolution of the image with defocus blur. Firstly, according to the low resolution imaging model, a framework of blind single-image super resolution reconstruction is presented. Secondly, utilizing Wiener filtering algorithm, the error-parameter curve of the defocus blurred image was generated, through which the defocus radius was estimated approximately and automatically. Thirdly, the super resolution image is gained by iterative back projection algorithm. Experimental results showed that the defocus PSF was estimated with high precision, and justified the fact that the defocus blur estimation takes a great effect in blind single-image super resolution reconstruction