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Prof. Daniel E. Koditschek

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Representation of Color Space Transformations for Effective Calibration and Control

Proceedings of The International Conference on Digital Printing Technologies Proceedings, January 2000

Richard E. Groff*, Daniel E. Koditschek*, Pramod P. Khargonekar*, and Tracy E. Thieret†
*: EECS, University of Michigan
†:J.C.Wilson Center for Research and Technology, Xerox Corporation
Full PDF | Penn ScholarlyCommons

Abstract
      We propose the “minvar” algorithm for computing continuous, continuously invertible, piecewise linear (PL) approximations of color space transformations that can serve as functional replacements wherever look-up tables are presently used. After motivating the importance of invertible approximants in color space management applications, we review the parameterization and computational implementation of PL functions as representing one useful instance of this notion. Finally, we describe the present version of the minvar algorithm and compare the approximations it yields with standard industrial practice interpolation of look-up table data.
BibTeX entry
@inproceedings{Groff-ICDPT-2000
  author       = "Richard E. Groff, Daniel E. Koditschek, Pramod P. Khargonekar, and Tracy E. Thieret"
  title        = "Representation of Color Space Transformations for Effective Calibration and Control"
  publisher    = "The Society for Imaging Science and Technology "
  booktitle    = "NIP16: International Conference on Digital Printing Technologies Proceedings"
  pages        = "255-260"
  year         = "2000"
}

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