Sampling artifacts, system design, and image processing

Gerald C. Holst

doi:10.1117/12.747757

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26 September 2007 Sampling artifacts, system design, and image processing

Gerald C. Holst

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Proceedings Volume 6712, Unconventional Imaging III; 67120C (2007) https://doi.org/10.1117/12.747757
Event: Optical Engineering + Applications, 2007, San Diego, California, United States

Abstract

Imaging system resolution depends upon Fλ/d where F is the focal ratio, λ is the wavelength, and d is the detector size. Assuming a 100% fill factor, no aliasing occurs when Fλ/d ≥ 2. However, sampling artifacts are quite acceptable and most systems have Fλ/d < 1. Sampling artifacts are most noticeable with periodic targets (bar patterns, picket fences, plowed fields, etc). Since real targets are aperiodic, the sampling theorem (frequency domain analysis) does not directly provide guidance in algorithm development. Sampling creates an edge location ambiguity of one pixel. Phasing effects and edge ambiguity are often overlooked when designing image processing algorithms.

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Gerald C. Holst "Sampling artifacts, system design, and image processing", Proc. SPIE 6712, Unconventional Imaging III, 67120C (26 September 2007); https://doi.org/10.1117/12.747757

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