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Proceedings Paper

A Cellular Hypercube Architecture For Image Processing
Author(s): K. S. Huang; B. K. Jenkins; A. A. Sawchuk
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Paper Abstract

In this paper we present a two-dimensional cellular hypercube architecture for image processing that combines features of the conventional hypercube and cellular logic architectures for 2-D computation cells. A unified theory of parallel binary image processing, binary image algebra (BIA), serves as a software tool for designing parallel image processing algorithms. To match the hardware to the software, we characterize the cellular processors using the same algebraic structure as BIA. The two-dimensional cellular hypercube image processor is a cellular SIMD machine with N2 cells and has a simple overall organization, low cell complexity and fast processing ability. An optical cellular hypercube implementation of BIA is proposed which offers parallel input/output and global interconnection capabilities which are difficult to do in planar VLSI technology.

Paper Details

Date Published: 18 January 1988
PDF: 8 pages
Proc. SPIE 0829, Applications of Digital Image Processing X, (18 January 1988); doi: 10.1117/12.942146
Show Author Affiliations
K. S. Huang, University of Southern California (United States)
B. K. Jenkins, University of Southern California (United States)
A. A. Sawchuk, University of Southern California (United States)

Published in SPIE Proceedings Vol. 0829:
Applications of Digital Image Processing X
Andrew G. Tescher, Editor(s)

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