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

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• 作者：Jurij Jemec ; Franjo Pernuš ; Boštjan LikarR30
• 关键词：Virtual point ; like source ; Two ; dimensional sub ; pixel point spread function ; 2D PSF ; Modulation transfer function ; Imaging system quality assessment ; ISO 12233
• 刊名：International Journal of Computer Vision
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：121
• 期：3
• 页码：391-402
• 全文大小：
• 刊物类别：Computer Science
• 刊物主题：Computer Imaging, Vision, Pattern Recognition and Graphics; Artificial Intelligence (incl. Robotics); Image Processing and Computer Vision; Pattern Recognition;
• 出版者：Springer US
• ISSN：1573-1405
• 卷排序：121

文摘

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.