Statistics – Computation
Scientific paper
Nov 1998
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1998adspr..22.1619p&link_type=abstract
Advances in Space Research, Volume 22, Issue 11, p. 1619-1624.
Statistics
Computation
Scientific paper
Image processing has been undergoing rapid development for more than thirty years /1/,/2/. The tasks in this field are characterized by high computational complexity. Enabling image processing algorithms to run in real time requires large computational power. Modern display systems support more than 256 colors (8-bits) per pixel and typical images have a spatial resolution of 512×512 pixels or larger for each image. Supporting high resolution displays and imagery requires the use of visualization systems with high performance computational capabilities. The transputer is a contemporary state-of-the-art parallel computer environment that offers high computational performance at a relatively low price (i.e. high performance/price ratio) for building such systems. Our other goal is to prototype the use of transputers as a flexible image processing engine for remote sensing applications.
Nikolov H.
Petkov D.
Zdravev T.
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