Systolic implementation of higher-order CMAC and its application in colour calibration

J. S. Ker, Yau-Hwang Kuo, Bin-Da Liu

研究成果: Article同行評審

6 引文 斯高帕斯(Scopus)

摘要

The primary advantages of a CMAC neural network are fast learning and insensitivity to the order in which training patterns are presented. The authors present an extended direct weight cell address mapping mechanism based on a linear systolic array architecture to realise a higher-order CMAC neural network with digital hardware. This higher-order CMAC implementation has been applied to calibrate and compensate the nonlinearity of chromatic mapping between colour scanning and printing devices in a colour image reproduction environment. A 20MHz prototyped CMAC chip for colour calibration has been implemented to confirm the proposed design approach. Using this prototype, the authors were able to achieve reproduced colour images with rich and vivid colours which strongly resemble the original.

原文English
頁(從 - 到)129-137
頁數9
期刊IEE Proceedings: Circuits, Devices and Systems
144
發行號3
DOIs
出版狀態Published - 1997 一月 1

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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