Super-resolution of imagery: understanding the basis for recoveryof spatial frequencies beyond the diffraction limit

摘要

Since the formation of an image alters the recorded informationcontent from that of the original object, there has been much interestand effort directed to processing the image so as to more closely matchthe original object. The paper examines credible methods for thereconstruction of spatial frequencies of the object that are greaterthan the diffraction limit spatial frequencies in the image. Processesthat achieve the recreation of frequencies beyond the image passband areusually referred to as super-resolution algorithms. The ability toachieve super-resolution of an image is controversial, with prominentliterature proclaiming it as not possible. However, the existence ofalgorithms that have demonstrated super-resolution in a number ofdifferent contexts has made it inescapable to conclude thatsuper-resolution is possible. Understanding the basis ofsuper-resolution also leads to understanding how the various algorithmsfor super-resolution function