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Proceedings Paper

Joint deconvolution and imaging
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Paper Abstract

We investigate a Wiener fusion method to optimally combine multiple estimates for the problem of image deblurring given a known blur and a corpus of sharper training images. Nearest-neighbor estimation of high frequency information from training images is fused with a standard Wiener deconvolution estimate. Results show an improvement in sharpness and decreased artifacts compared to either the standard Wiener filter or the nearest-neighbor reconstruction.

Paper Details

Date Published: 2 February 2009
PDF: 12 pages
Proc. SPIE 7246, Computational Imaging VII, 72460C (2 February 2009); doi: 10.1117/12.816444
Show Author Affiliations
Hyrum S. Anderson, Univ. of Washington (United States)
Maya R. Gupta, Univ. of Washington (United States)

Published in SPIE Proceedings Vol. 7246:
Computational Imaging VII
Charles A. Bouman; Eric L. Miller; Ilya Pollak, Editor(s)

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