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Proceedings Paper

Fast 3D blind deconvolution of even point spread functions
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Paper Abstract

3-D images obtained from optical sectioning microscopy are usually degraded by a point-spread function that is known to be an even function but is otherwise only approximately known, or even entirely unknown. We present a new algorithm for 3-D blind deconvolution of even point-spread functions that is both fast and (in the absence of noise) exact. Fourier transforms decouple the problem into 2-D, then 1-D blind deconvolution problems, greatly increasing computational speed. Numerical simulations demonstrate that the blind algorithm seems to perform both faster and more accurately than the non-blind iterative Lucy-Richardson algorithm.

Paper Details

Date Published: 13 July 2004
PDF: 10 pages
Proc. SPIE 5324, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XI, (13 July 2004); doi: 10.1117/12.529337
Show Author Affiliations
Andrew E. Yagle, Univ. of Michigan (United States)
Siddharth Shah, Univ. of Michigan (United States)


Published in SPIE Proceedings Vol. 5324:
Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XI
Jose-Angel Conchello; Carol J. Cogswell; Tony Wilson, Editor(s)

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