The author derives an estimate-maximise (EM) formulation of a Bayesian super-resolution algorithm for reconstructing scattering cross sections from coherent images. He generalises this result to obtain an autofocus/super-resolution method, which simultaneously autofocusses an imaging system and super-resolves its image data. Autofocus/super-resolution might be applied to the interpretation of airborne synthetic aperture radar images that are subject to defocussing effects.
Bayesian autofocus/super-resolution theory
Bayes Autofokus/Superauflösungstheorie
1990
, 11 Quellen
Conference paper
English
Online Contents | 2004
Online Contents | 2005
Online Contents | 2004
Autofocus - A hydrogen education.
Online Contents | 2005