3D Image Restoration Using Multiple Space-Varying Point Spread Functions

Chrysanthe Preza

doi:10.1364/MATH.2017.MM3C.4

Imaging and Applied Optics 2017 (3D, AIO, COSI, IS, MATH, pcAOP)
OSA Technical Digest (online) (Optica Publishing Group, 2017),
paper MM3C.4
•https://doi.org/10.1364/MATH.2017.MM3C.4

3D Image Restoration Using Multiple Space-Varying Point Spread Functions

Chrysanthe Preza

Mathematics in Imaging 2017

San Francisco, California United States
26–29 June 2017
ISBN: 978-1-943580-29-3

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Diversity Imaging (MM3C)

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C. Preza, "3D Image Restoration Using Multiple Space-Varying Point Spread Functions," in Imaging and Applied Optics 2017 (3D, AIO, COSI, IS, MATH, pcAOP), OSA Technical Digest (online) (Optica Publishing Group, 2017), paper MM3C.4.

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Abstract

Model-based image restoration methods using multiple space-varying point spread functions (PSFs) enable microscopy of optically thick samples. Efficient PSF representation using an orthonormal basis reduces computational complexity and renders the methods practical for use.

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