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Proceedings Paper

Super-resolution image reconstruction from a sequence of aliased imagery
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Paper Abstract

This paper presents a super-resolution image reconstruction from a sequence of aliased imagery. The sub-pixel shifts (displacement) among the images are unknown due to uncontrolled natural jitter of the imager. A correlation method is utilized to estimate sub-pixel shifts between each low-resolution aliased image with respect to a reference image. An error-energy reduction algorithm is derived to reconstruct the high-resolution alias-free output image. The main feature of this proposed error-energy reduction algorithm is that we treat the spatial samples from low-resolution images that possess unknown and irregular (uncontrolled) sub-pixel shifts as a set of constraints to populate an over-sampled (sampled above the desired output bandwidth) processing array. The estimated sub-pixel locations of these samples and their values constitute a spatial domain constraint. Furthermore, the bandwidth of the alias-free image (or the sensor imposed bandwidth) is the criterion used as a spatial frequency domain constraint on the over-sampled processing array. The results of testing the proposed algorithm on the simulated low-resolution aliased images from real world non-aliased FLIR (Forward-Looking Infrared) images, real world aliased FLIR images and visible aliased images are provided.

Paper Details

Date Published: 12 May 2005
PDF: 11 pages
Proc. SPIE 5784, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVI, (12 May 2005); doi: 10.1117/12.603482
Show Author Affiliations
S. Susan Young, Army Research Lab. (United States)
Ronald G. Driggers, U.S. Army Night Vision and Electronic Sensors Directorate (United States)


Published in SPIE Proceedings Vol. 5784:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVI
Gerald C. Holst, Editor(s)

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