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Proceedings Paper

Recovery of aliased signals for high-resolution digital imaging
Author(s): Sarah John
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Paper Abstract

In a digital imaging device the maximum resolution that can be achieved is limited to the Nyquist frequency of the sampling grid. We develop in this paper a method by which this constraint may be overcome by recovering aliased information which occurs due to undersampling and thereby restore frequencies beyond the sampling passband. The method relies on acquiring several images of the same scene by varying the optical transfer function of the imaging system. We then solve a set of linear equations that incorporates the degradations due to blurring aliasing and noise of the imaging system. The effectiveness of the technique is demonstrated by presenting restorations of 1-dimensional and 2-dimensional degraded signals. We also discuss the usefulness of the technique for multiresolution coding.

Paper Details

Date Published: 1 March 1991
PDF: 9 pages
Proc. SPIE 1385, Optics, Illumination, and Image Sensing for Machine Vision V, (1 March 1991); doi: 10.1117/12.25369
Show Author Affiliations
Sarah John, Science and Technology Corp. (United States)


Published in SPIE Proceedings Vol. 1385:
Optics, Illumination, and Image Sensing for Machine Vision V
Donald J. Svetkoff; Kevin G. Harding; Gordon T. Uber; Norman Wittels, Editor(s)

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