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26 September 2007 Sampling artifacts, system design, and image processing
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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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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