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Proceedings Paper

A spatially varying PSF model for Seidel aberrations and defocus
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Paper Abstract

Contrary to common assumptions in the literature, the blur kernel corresponding to lens-effect blur has been demonstrated to be spatially-varying across the image plane. Existing models for the corresponding point spread function (PSF) are either parameterized and spatially-invariant, or spatially-varying but ad-hoc and discretely-defined. In this paper, we develop and present a novel, spatially-varying, parameterized PSF model that accounts for Seidel aberrations and defocus in an imaging system. We also demonstrate that the parameters of this model can easily be determined from a set of discretely-defined PSF observations, and that the model accurately describes the spatial variation of the PSF from a test camera.

Paper Details

Date Published: 21 February 2013
PDF: 6 pages
Proc. SPIE 8666, Visual Information Processing and Communication IV, 86660F (21 February 2013); doi: 10.1117/12.2008851
Show Author Affiliations
Jonathan D. Simpkins, Univ. of Notre Dame (United States)
Robert L. Stevenson, Univ. of Notre Dame (United States)

Published in SPIE Proceedings Vol. 8666:
Visual Information Processing and Communication IV
Amir Said; Onur G. Guleryuz; Robert L. Stevenson, Editor(s)

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