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Volume: 1 | Article ID: art00037
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Efficient Implementation of Nonlinear Color Transformations
Jan P. Allebach
James Z. Chang
Charles A. Bouman
  DOI :  10.2352/CIC.1993.1.1.art00037  Published Online :  January 1993
Abstract

We introduce a new approach which we call sequential linear interpolation (SLI) for interpolating multidimensional nonlinear functions. SLI grid points can be nonuniformly allocated to minimize the interpolation error. Thus, we use the grid points more efficiently, there- by reducing the number of required measurements. An iterative procedure is also proposed to solve the color printer calibration problem where the function to be interpolated must be measured from its inverse point by point.

Journal Title : Color and Imaging Conference
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
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 DOI 10.2352/CIC.1993.1.1.art00037
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Jan P. Allebach, James Z. Chang, Charles A. Bouman, "Efficient Implementation of Nonlinear Color Transformations"  in Proc. IS&T 1st Color and Imaging Conf.,  1993,  pp 143 - 148,  https://doi.org/10.2352/CIC.1993.1.1.art00037

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Copyright © Society for Imaging Science and Technology 1993
72010350
Color and Imaging Conference
color imaging conf
2166-9635
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2166-9635(19930101)1993:1L.143;1-
cic_v1993n1/splitsection37.xml
/ist/cic/1993/00001993/00000001/art00037
Articles
Efficient Implementation of Nonlinear Color Transformations
AllebachJan P.
ChangJames Z.
BoumanCharles A.
01011993
1993
1
143
148
1993
We introduce a new approach which we call sequential linear interpolation (SLI) for interpolating multidimensional nonlinear functions. SLI grid points can be nonuniformly allocated to minimize the interpolation error. Thus, we use the grid points more efficiently, there- by reducing the number of required measurements. An iterative procedure is also proposed to solve the color printer calibration problem where the function to be interpolated must be measured from its inverse point by point.