A Cellular Hypercube Architecture For Image Processing

K. S. Huang; B. K. Jenkins; A. A. Sawchuk

doi:10.1117/12.942146

18 January 1988 A Cellular Hypercube Architecture For Image Processing

K. S. Huang, B. K. Jenkins, A. A. Sawchuk

Proceedings Volume 0829, Applications of Digital Image Processing X; (1988) https://doi.org/10.1117/12.942146
Event: 31st Annual Technical Symposium on Optical and Optoelectronic Applied Sciences and Engineering, 1987, San Diego, CA, United States

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.

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K. S. Huang, B. K. Jenkins, and A. A. Sawchuk "A Cellular Hypercube Architecture For Image Processing", Proc. SPIE 0829, Applications of Digital Image Processing X, (18 January 1988); https://doi.org/10.1117/12.942146

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