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International Journal of Computer Vision

Erschienen in:

02.09.2016

2D Sub-pixel Point Spread Function Measurement Using a Virtual Point-Like Source

verfasst von: Jurij Jemec, Franjo Pernuš, Boštjan Likar, Miran Bürmen

Erschienen in: International Journal of Computer Vision | Ausgabe 3/2017

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Abstract

2D point spread function (PSF) is a commonly used measure to assess the quality of various imaging systems. The most convenient way of 2D PSF measurement is taking an image of a light source with its size well below the diffraction limit of the imaging system. In this paper, we present a novel method that allows formation of such a virtual point-like source by a simple setup with a convex spherical mirror and a collimated light source. Sub-pixel 2D PSF measurements are possible by displacing the setup in sub-pixel steps. Comparison of the 1D modulation transfer functions estimated by the proposed method and the International Organization for Standardization (ISO) 12233 standard shows that the proposed method presents a viable alternative to the ISO 12233 standard. Furthermore, future work on calibration patterns and algorithms for sub-pixel 2D PSF estimation from a single image could benefit from the presented method, which provides ground truth sub-pixel 2D PSF measurements for real imaging systems.

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Titel: 2D Sub-pixel Point Spread Function Measurement Using a Virtual Point-Like Source
verfasst von: Jurij Jemec
Franjo Pernuš
Boštjan Likar
Miran Bürmen
Publikationsdatum: 02.09.2016
Verlag: Springer US
Erschienen in: International Journal of Computer Vision / Ausgabe 3/2017
Print ISSN: 0920-5691
Elektronische ISSN: 1573-1405
DOI: https://doi.org/10.1007/s11263-016-0948-8

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