Spectral data representation techniques for realistic image synthesis

Information

• Publication Type: Master Thesis
• Workgroup(s)/Project(s):
  • Rendering and Modeling
• Date: February 2011
• Diploma Examination: 2011
• First Supervisor:
  • Werner Purgathofer
  • Andrea Weidlich

Abstract

Digital image synthesis is used in many industrial applications. One goal of this discipline is the physical correct simulation of natural phenomena such as the color of the blue sky or refraction in translucent materials. To accomplish this goal the usage of spectral data for the representation of color information is indispensable. For this purpose different methods were developed over the years. These methods face the challenge of accurately representing complex data (e.g. fluorescent light sources). My work compares these methods using the color difference formula CIEDE2000 as well as a large data set for testing (NCS atlas), and answers the question whether the application of low pass filters during sampling rate conversions does, or does not influence the accuracy of the representation methods.

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BibTeX

@mastersthesis{TK_2011,
  title =      "Spectral data representation techniques for realistic image
               synthesis",
  author =     "Thomas Kment",
  year =       "2011",
  abstract =   "Digital image synthesis is used in many industrial
               applications. One goal of this discipline is the physical
               correct simulation of natural phenomena such as the color of
               the blue sky or refraction in translucent materials. To
               accomplish this goal the usage of spectral data for the
               representation of color information is indispensable. For
               this purpose different methods were developed over the
               years. These methods face the challenge of accurately
               representing complex data (e.g. fluorescent light sources).
               My work compares these methods using the color difference
               formula CIEDE2000 as well as a large data set for testing
               (NCS atlas), and answers the question whether the
               application of low pass filters during sampling rate
               conversions does, or does not influence the accuracy of the
               representation methods.",
  month =      feb,
  address =    "Favoritenstrasse 9-11/E193-02, A-1040 Vienna, Austria",
  school =     "Institute of Computer Graphics and Algorithms, Vienna
               University of Technology ",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2011/TK_2011/",
}