A blind super-resolution framework considering the sensor PSF

Abstract

Blind super-resolution, which incorporates blur identification into super-resolution, has been proposed to restore the degraded image with either partially known or totally unknown blur. In the conventional framework for blind super-resolution, the sensor PSF caused by camera lens/CCD has always been ignored. Therefore, the identified blur and restored HR image are affected by the sensor PSF, especially when the support of identified blur is relatively small. In this paper, we propose a blind super-resolution framework considering the sensor PSF to solve this problem. In the proposed framework, the sensor PSF and the identified external blur are considered separately, and then Error-Parameter-Analysis algorithm is applied to implement the blind super-resolution. Experiments show that the proposed framework can enhance the accuracy of the blur identification and the quality of the restored HR image.