Bayesian approach for sensor super-resolution
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United States of America Patent
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Sep 13, 2011
Grant Date -
Nov 19, 2009
app pub date -
Mar 10, 2009
filing date -
Sep 30, 2005
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Abstract
Bayesian super-resolution techniques fuse multiple low resolution images (possibly from multiple bands) to infer a higher resolution image. The super-resolution and fusion concepts are portable to a wide variety of sensors and environmental models. The procedure is model-based inference of super-resolved information. In this approach, both the point spread function of the sub-sampling process and the multi-frame registration parameters are optimized simultaneously in order to infer an optimal estimate of the super-resolved imagery. The procedure involves a significant number of improvements, among them, more accurate likelihood estimates and a more accurate, efficient, and stable optimization procedure.
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