Paper
15 May 2000 Improving resolution to reduce aliasing in an undersampled image sequence
Cris L. Luengo Hendriks, Lucas J. van Vliet
Author Affiliations +
Abstract
We present various methods to increase the spatial resolution of an undersampled, and thus aliased, image sequence. The sequence is acquired by an infrared camera, which severely undersamples the image of a static scene. Vibration of the setup causes a random, sub-pixel, global translation of the scene before sampling. Although a single frame is hampered by aliasing, a sufficiently large series of such frames contains all the information needed to undo this aliasing.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cris L. Luengo Hendriks and Lucas J. van Vliet "Improving resolution to reduce aliasing in an undersampled image sequence", Proc. SPIE 3965, Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications, (15 May 2000); https://doi.org/10.1117/12.385439
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CITATIONS
Cited by 17 scholarly publications and 1 patent.
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KEYWORDS
Signal to noise ratio

Cameras

Image resolution

Detector arrays

Imaging systems

Convolution

Error analysis

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