Proceedings Paper
Optical and electro-optical architectures for the compression and encryption of discrete signals and imagery: 3. Optical computation over compressed data| Format | Member Price | Non-Member Price |
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Paper Abstract
Due to a reduced space requirement, the output of compressive transformations can generally be processed with fewer operations than are required to process uncompressed data. Since 1992, we have published theory that unifies the processing compressed and/or encrypted imagery, and have demonstrated significant computational speedup in the case of compressive processing, In this paper, the third of a series, we extend our previously reported work in optical processor design based on image algebra to include the design of optical processors that compute over compressed data. Parts 1 and 2 describe optical architectures that are designed to produce compressed or encrypted imagery.
Paper Details
Date Published: 1 June 1994
PDF: 14 pages
Proc. SPIE 2238, Hybrid Image and Signal Processing IV, (1 June 1994); doi: 10.1117/12.177706
Published in SPIE Proceedings Vol. 2238:
Hybrid Image and Signal Processing IV
David P. Casasent; Andrew G. Tescher, Editor(s)
PDF: 14 pages
Proc. SPIE 2238, Hybrid Image and Signal Processing IV, (1 June 1994); doi: 10.1117/12.177706
Show Author Affiliations
Mark S. Schmalz, Univ. of Florida (United States)
Published in SPIE Proceedings Vol. 2238:
Hybrid Image and Signal Processing IV
David P. Casasent; Andrew G. Tescher, Editor(s)
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