Paper
28 December 1979 Effect Of Image Aliasing On Image Alignment To Subpixel Accuracy
S. M. Jaffey, M. W. Millman
Author Affiliations +
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.
© (1979) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
S. M. Jaffey and M. W. Millman "Effect Of Image Aliasing On Image Alignment To Subpixel Accuracy", Proc. SPIE 0207, Applications of Digital Image Processing III, (28 December 1979); https://doi.org/10.1117/12.958226
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Cited by 1 scholarly publication.
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KEYWORDS
Digital image processing

Image registration

Sensors

Modulation transfer functions

Point spread functions

Image sensors

Fourier transforms

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