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Proceedings Paper

Use of heterogeneous distributed memory parallel systems in image processing
Author(s): Wilfred Pinfold
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Paper Abstract

To extract meaningful information from available data, researchers are often confronted with data in some complex superposed state. Therefore, the physical quantity of interest is not directly observable. In the physical sciences, a common form of information mixing is linear superposition. This includes fields as diverse as radio astronomy, Fourier transform spectroscopy, atmospheric physics, and medical diagnostics. One problem confronting researchers in these disciplines is restoring or deconvolving data. In addition to simple data restoration, noise can complicate the restoration process. This phenomenon can enter both prior to or during the collection of data. Noise presents a major obstacle to perfect restoration, information gain, and scientific understanding.

Paper Details

Date Published: 1 April 1991
PDF: 6 pages
Proc. SPIE 1406, Image Understanding in the '90s: Building Systems that Work, (1 April 1991); doi: 10.1117/12.47976
Show Author Affiliations
Wilfred Pinfold, Meiko Scientific Corp. (United States)


Published in SPIE Proceedings Vol. 1406:
Image Understanding in the '90s: Building Systems that Work

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