The Pupil-Difference Probability Density as a tool for understanding OTF

Kevin Liang; Kevin Liang; Miguel A. Alonso; Miguel A. Alonso; Miguel A. Alonso

doi:10.1364/MATH.2018.MTu2D.5

Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP)
OSA Technical Digest (Optica Publishing Group, 2018),
paper MTu2D.5
•https://doi.org/10.1364/MATH.2018.MTu2D.5

The Pupil-Difference Probability Density as a tool for understanding OTF

Kevin Liang and Miguel A. Alonso

Mathematics in Imaging 2018

Orlando, Florida United States
25–28 June 2018
ISBN: 978-1-943580-44-6

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High-dimentional imaging (MTu2D)

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K. Liang and M. A. Alonso, "The Pupil-Difference Probability Density as a tool for understanding OTF," in Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP), OSA Technical Digest (Optica Publishing Group, 2018), paper MTu2D.5.

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Abstract

We introduce the concept of pupil-difference probability density (PDPD) and discuss its use to study optical performance. We illustrate its use in understanding the effects of mid-spatial frequency (MSF) structures and quadratic surface errors.

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