PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution
Michael Hirsch, Suvrit Sra, Bernhard Schölkopf and Stefan Harmeling
In: CVPR 2010, 13-18 Jun 2010, San Francisco, USA.

Abstract

Ultimately being motivated by facilitating space-variant blind deconvolution, we present a class of linear transformations, that are expressive enough for space-variant filters, but at the same time especially designed for efficient matrix-vector-multiplications. Successful results on astronomical imaging through atmospheric turbulences and on noisy magnetic resonance images of constantly moving objects demonstrate the practical significance of our approach.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
ID Code:7907
Deposited By:Stefan Harmeling
Deposited On:17 March 2011