1 April 1991 Use of heterogeneous distributed memory parallel systems in image processing
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Proceedings Volume 1406, Image Understanding in the '90s: Building Systems that Work; (1991) https://doi.org/10.1117/12.47976
Event: Applied Imaging Pattern Recognition, 1990, McLean, VA, United States
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.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wilfred Pinfold, "Use of heterogeneous distributed memory parallel systems in image processing", Proc. SPIE 1406, Image Understanding in the '90s: Building Systems that Work, (1 April 1991); doi: 10.1117/12.47976; https://doi.org/10.1117/12.47976
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