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18 January 1988 A Cellular Hypercube Architecture For Image Processing
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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.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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