A single image based blind super-resolution approach

In this paper, we address the problem of producing super- resolved image from a single low-resolution input. Unlike most previous work, the camera´s point spread function (PSF) is not assumed to be known in advance and the single image super-resolution problem is formulated as a blind deconvolution problem under a MAP framework which can be optimized effectively in an iterative manner. Experimental results demonstrate that our method can successfully generate super-resolved image with high quality, both subjectively and objectively.