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Proceedings Paper

Imagery super-resolution: emerging prospects
Author(s): Bobby R. Hunt
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Paper Abstract

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.

Paper Details

Date Published: 1 December 1991
PDF: 9 pages
Proc. SPIE 1567, Applications of Digital Image Processing XIV, (1 December 1991); doi: 10.1117/12.50848
Show Author Affiliations
Bobby R. Hunt, Univ. of Arizona (United States)


Published in SPIE Proceedings Vol. 1567:
Applications of Digital Image Processing XIV
Andrew G. Tescher, Editor(s)

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