A single image based blind super-resolution approach
Wei Zhang, Wai-Kuen Cham · 2008
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.