A spatially varying PSF model for Seidel aberrations and defocus

Jonathan D. Simpkins; Robert L. Stevenson

doi:10.1117/12.2008851

21 February 2013 A spatially varying PSF model for Seidel aberrations and defocus

Jonathan D. Simpkins, Robert L. Stevenson

Proceedings Volume 8666, Visual Information Processing and Communication IV; 86660F (2013) https://doi.org/10.1117/12.2008851
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States

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.

Citation Download Citation

Jonathan D. Simpkins and Robert L. Stevenson "A spatially varying PSF model for Seidel aberrations and defocus", Proc. SPIE 8666, Visual Information Processing and Communication IV, 86660F (21 February 2013); https://doi.org/10.1117/12.2008851

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