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Proceedings Paper

A Practical Architecture For A Real-Time Image Resampling Processor
Author(s): Neil H. Endsley; Allan J. Mord
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Paper Abstract

A hardware architecture for real-time image resampling has been developed which will support a wide range of image resampling tasks arising in remote sensing applications. In particular, local spatial sampling errors caused by misalignment of sensor arrays and optical defects, plus global spatial sampling errors caused by platform pointing errors, can be simultaneously rectified. This is achieved by referring all sample errors to the same fixed ideal sampling coordinate frame This has the added advantage of providing automatic co-registration of images obtained in several spectral bands with separate sensor arrays. The resulting architecture is modular and flexible due to a decomposition into independent parallel structures. The use of very large scale integrated circuits for memories and mul-tiplier/accumulators results in a design with a processing speed/power ratio in excess of 10° pixels per second per Watt and providing 1/16 pixel resampling accuracy.

Paper Details

Date Published: 9 January 1984
PDF: 6 pages
Proc. SPIE 0435, Architectures and Algorithms for Digital Image Processing, (9 January 1984); doi: 10.1117/12.937002
Show Author Affiliations
Neil H. Endsley, Ball Aerospace Systems Division (United States)
Allan J. Mord, Ball Aerospace Systems Division (United States)

Published in SPIE Proceedings Vol. 0435:
Architectures and Algorithms for Digital Image Processing
Per-Erik Danielsson; Andre J. Oosterlinck, Editor(s)

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