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Optical Engineering

Block matching algorithm for mitigating aliasing effects in undersampled image sequences
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Paper Abstract

Two fundamental motivations exist for designing remote sensing systems that are undersampled: (1) SNR considerations that motivate larger detectors to collect more photoevents per frame time and (2) the desire to maximize the field of view with a finite number of detectors. As a result, many remote sensing systems do not satisfy the Nyquist sampling criterion, leading to measured images corrupted with a defect called aliasing. We describe a localized subpixel motion sensing algorithm that is used to properly place small blocks of the sequence of images in an upsampled space. Localized motion sensing enables dealiasing to be performed on image sequences with more complicated relative motion than simple translation. The presented results show improvements in both the edge response and subjective image quality.

Paper Details

Date Published: 1 February 2002
PDF: 11 pages
Opt. Eng. 41(2) doi: 10.1117/1.1431250
Published in: Optical Engineering Volume 41, Issue 2
Show Author Affiliations
Michael C. Roggemann, Michigan Technological Univ. (United States)
William R. Reynolds, Signature Research, Inc. (United States)


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