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Proceedings Paper

Real-time implementation of superresolution imaging algorithm
Author(s): Carl E. Hein
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Paper Abstract

The design and implementation of a real-time super-resolution imaging processor was conducted as a benchmark for the Rapid Prototyping of Application Specific Signal Processors (RASSP) program. RASSP is a DARPA/Tri-services sponsored program aimed at accelerating the design process for digital electronic systems. The super-resolution subsystem is part of a Semi-Automated Image-intelligence Processing (SAIP) system. The benchmark project required a reduction in the size and increase in performance of the prototype system, which had been implemented on an array of workstations. The RASSP methodology was applied to guide the design process and RASSP-related analysis tools were used to accelerate the software development. The numerical and run-time performance goals were achieved through a combination of software innovations in the imaging algorithm and porting to a high-density commercial off-the-shelf high-performance parallel processor. The selected processor consisted of four Alex Computer boards containing a total of 72 ADSP-21060 signal processors.

Paper Details

Date Published: 2 October 1998
PDF: 11 pages
Proc. SPIE 3461, Advanced Signal Processing Algorithms, Architectures, and Implementations VIII, (2 October 1998); doi: 10.1117/12.325710
Show Author Affiliations
Carl E. Hein, Lockheed Martin Advanced Technology Labs. (United States)

Published in SPIE Proceedings Vol. 3461:
Advanced Signal Processing Algorithms, Architectures, and Implementations VIII
Franklin T. Luk, Editor(s)

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