Design of a color reproduction neural network chip with on-chip learning capability

Jar Shone Ker, Yau-Hwang Kuo, Bin-Da Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The process of eliminating color errors from the gamut mismatch, resolution conversion, quantization and non-linearity between scanner and printer is an essential issue of color reproduction. To efficiently calibrate the non-linear color distortion characteristic between color scanner and printer and to enhance the reproduction quality of color document, we develop a hardware processing module, which realizes the operation of higher-order CMAC neural network model with linear systolic array architecture, to on-line calibrate the color during the reproducing session. This mapping scheme exhibits fast computation speed in evaluating the output responses of higher-order CMAC model.

Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing
Editors Anon
PublisherIEEE
Pages1023-1026
Number of pages4
Volume2
Publication statusPublished - 1996
EventProceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3) - Lausanne, Switz
Duration: 1996 Sep 161996 Sep 19

Other

OtherProceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3)
CityLausanne, Switz
Period96-09-1696-09-19

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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