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A Run-Time Re-configurable Parametric Architecture for Local Neighborhood Image Processing

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6 Author(s)

We propose a run-time re-configurable parametric architecture (fabric) for local neighborhood image processing. The proposed architecture is composed of polymorphous cells where each cell accesses neighborhood data from a local cell memory, and executes a neighborhood function sequentially. The architecture is flexible since different neighborhood functions can be implemented by rewriting a cell's software micro-code. High throughput is achieved because many cells execute concurrently. We show that for a satellite image feature extraction application, our architecture, implemented on Stratix II and Virtex 2 field programmable gate arrays, achieves similar performance, hardware resource utilization, and throughput as a fully pipelined systolic array architecture, yet offers imp roved flexibility to the developer. We compare and contrast these two architectures for their usability to the image processing community

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Digital System Design: Architectures, Methods and Tools, 2006. DSD 2006. 9th EUROMICRO Conference on

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