Imagery super-resolution: emerging prospects
Bobby R. Hunt · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1991
The problem of Image Super-Resolution is defined as processing an image in such a way as to extend the bandwidth of the image beyond the diffraction-limited spatial frequency imposed by the optical aperture forming the image. We present an algorithm which is derived by MAP estimation under Poisson modelling assumptions. The algorithm has been demonstrated empirically as capable of producing Super-Resolution. We hypothesize that the modelling process is responsible for adding additional information that constitutes the potential for image bandwidth extension. We outline an information theory analysis to quantify the modelling information, and indicate the forthcoming efforts to be conducted in pursuit of this analysis.