2015
DOI: 10.3807/josk.2015.19.2.136
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Parameterized Modeling of Spatially Varying PSF for Lens Aberration and Defocus

Abstract: Image deblurring by a deconvolution method requires accurate knowledge of the blur kernel. Existing point spread function (PSF) models in the literature corresponding to lens aberrations and defocus are either parameterized and spatially invariant or spatially varying but discretely defined. In this paper, a parameterized model is developed and presented for a PSF which is spatially varying due to lens aberrations and defocus in an imaging system. The model is established from the Seidel third-order aberration… Show more

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Cited by 6 publications
(2 citation statements)
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“…However the proposed alignment pattern is still valid with the local non-uniformities, because some fluctuations cannot change the number of observed intended subpixels significantly. If the error is big enough to change the viewpoints or viewing distance, other correction methods should accompany [30][31][32]. In that case, the proposed alignment pattern is compatible with other correction methods.…”
Section: Methodsmentioning
confidence: 99%
“…However the proposed alignment pattern is still valid with the local non-uniformities, because some fluctuations cannot change the number of observed intended subpixels significantly. If the error is big enough to change the viewpoints or viewing distance, other correction methods should accompany [30][31][32]. In that case, the proposed alignment pattern is compatible with other correction methods.…”
Section: Methodsmentioning
confidence: 99%
“…The use of rotational symmetry and polar transformations for deblurring arises in modeling motion blur [26,27], suppressing radial variance [28], and segmenting the FoV into shift-invariant radial segments [29][30][31][32]. Additionally, ray models have been developed using Seidel coefficients [33]. Many of these works are beating around the bush of LRI, although none rigorously define it or develop algorithms with accompanying theoretical analysis.…”
Section: Related Workmentioning
confidence: 99%