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

delete2016-09-02
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J
Jurij Jemec *
F
Franjo Pernuš
B
Boštjan Likar
M
Miran Bürmen
DOI:10.1007/s11263-016-0948-8delete
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Abstract

Abstract

En 中文
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.
Keywords:
Virtual point-like source
Two-dimensional sub-pixel point spread function
2D PSF
Modulation transfer function
Imaging system quality assessment
ISO 12233
AI Summary

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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

International Journal of Computer Vision cover
International Journal of Computer Vision
IF:
9.3
Papers:
3.9K
Citations:
2.8W

Organization

U
University of Ljubljana
Scholars:
1.5W
Papers: 1.3W
Citations: 1.7W
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