Digital superresolution (DSR) is the process of improving image resolution by overcoming the sampling limit of an imaging sensor, while optical superresolution (OSR) is the recovery of object spatial frequencies with magnitude higher than the diraction limit of the imaging optics. The present paper presents an integrated, Fisher-information-based analysis of the two superresolution (SR) processes applied to a sequence of sub-pixel shifted images of an object whose support is precisely known. As we shall see, prior information about the object support makes it possible to achieve OSR whose delity in fact improves with increasing size of the image sequence. The interplay of the two kinds of SR is further explored by varying the ratio of the detector sampling rate to the Nyquist rate.

Date Published: 26 September 2007
PDF: 11 pages
Proc. SPIE 6712, Unconventional Imaging III, 67120E (26 September 2007); doi: 10.1117/12.742908

Published in SPIE Proceedings Vol. 6712:
Unconventional Imaging III
Jean J. Dolne; Victor L. Gamiz; Paul S. Idell, Editor(s)