Reduced processing element architecture for parallel local image processing

Po-Ning Chen, Yung Sheng Chen, Wen Using Hsu*

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摘要

The object of this paper is to propose new architecture which can reduce the number of processing elements for parallel local image processing under the premise of real-time performance. For large-sized local image processing, this architecture will save much space as it is suitable for being designed into VLSI chip. For example, the traditional parallel architecture will use 9 PEs for a 3X3 convolution, while the Reduced Processing Element Architecture (RPEA) only requires 2 PEs to achieve the real-time performance.

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