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Optimization of Space Color Mapping Using Compactly Supported Radial Basis Functions for Color Reproduction

  • Ladys Rodriguez
  • Luis Diago
  • Ichiro Hagiwara
Part of the Communications in Computer and Information Science book series (CCIS, volume 323)

Abstract

Colors play an important role for customers to find their preference. The perception of the color depends on the devices used to show the colors and it changes with the color transformation between one device and another. This paper proposes an optimization of the Compactly-Supported Radial Basis Functions (CSRBF) space mapping to minimize the error in the color conversion between the system and the printer color spaces. A clustering k-means method is used to select the representative data in the printer color space to reproduce the whole space with high accuracy. The calculation of optimized CSRBF parameters using the representative data is proposed to minimize the color difference between the predicted CSRBF color value and the printed color value of all data in the printer color space. Proposed optimization method finds the optimized CSRBF parameters values and the optimal weighting parameters for color differences evaluation.

Keywords

Radial Basis Function Color Space Radial Basis Function Color Conversion Propose Optimization Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Ladys Rodriguez
    • 1
  • Luis Diago
    • 2
  • Ichiro Hagiwara
    • 1
    • 2
  1. 1.Institute for Advanced Study of Mathematical Sciences (MIMS)Meiji UniversityTama-kuJapan
  2. 2.Department of Mechanical Science and EngineeringTokyo Institute of TechnologyMeguro-kuJapan

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