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Proceedings Paper

Effect Of Image Aliasing On Image Alignment To Subpixel Accuracy
Author(s): S. M. Jaffey; M. W. Millman
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Paper Abstract

Image aliasing (undersampling) can cause significait errors in attempts to align two small size imagus to subpixel accuracy. This problem arises in applications such as focal plane stabilization, target detection, angular velocity updates to inertial navigation, and image resolution improvement, in which a small number of detectors is preferable from a cost standpoint. This paper compares the sensitivity of four registration algorithms to a sequence of increasingly aliased images, ranging in size from 8 x 8 to 32 x 32 pixels. The algorithms are: minimum sum of differences on interpolated images (MSD), normalized cross-correlation (NCC), phase correlation (PC), and normalized mean absolute difference (NMAD). The results show that the MSD and NCC methods are least sensitive to aliasing. Attempts to make the 1188 and PC methods more robust against aliasing are also discussed. The main conclusion is that aliasing should be considered as an effect when choosing the system modulation transfer function and the number of detectors.

Paper Details

Date Published: 28 December 1979
PDF: 8 pages
Proc. SPIE 0207, Applications of Digital Image Processing III, (28 December 1979); doi: 10.1117/12.958226
Show Author Affiliations
S. M. Jaffey, Lockheed Palo Alto Research Laboratory (United States)
M. W. Millman, Lockheed Palo Alto Research Laboratory (United States)

Published in SPIE Proceedings Vol. 0207:
Applications of Digital Image Processing III
Andrew G. Tescher, Editor(s)

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