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Proceedings Paper

Image restoration versus aliased noise enhancement
Author(s): Stephen K. Park; Rajeeb Hazra
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Paper Abstract

Most sampled imaging systems produce aliasing. That is, the sampling process causes spatial frequencies beyond the system's sampling passband to fold into spatial frequencies within the sampling passband. In this way, sampling can produce potentially significant image artifacts, particularly if digital filtering is used to restore (`deconvolve,' high-boost filter) the aliased, sampled image data prior to reconstruction. In this paper we use a model-based computational simulation to process natural scenes in a way that enables the restoration-enhanced `aliased component' of the reconstructed image to be isolated and displayed unambiguously.

Paper Details

Date Published: 24 June 1994
PDF: 11 pages
Proc. SPIE 2239, Visual Information Processing III, (24 June 1994); doi: 10.1117/12.179296
Show Author Affiliations
Stephen K. Park, College of William and Mary (United States)
Rajeeb Hazra, Lockheed Engineering and Sciences Co. (United States)

Published in SPIE Proceedings Vol. 2239:
Visual Information Processing III
Friedrich O. Huck; Richard D. Juday, Editor(s)

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