Super Resolution From Multiple Low Resolution Images

Although the technology of optical instruments is constantly advancing, the capture of high resolution images is limited by both the shortcomings of the imaging devices and the law of physics (uncertainty principle applied onto photons or the wave-like theory of light). The current paper presents an algorithm for processing a set of images sharing the same subject with the purpose of extracting a higher resolution output image of the subject, using partial information from every one of the low resolutions samples in the input set.