Perception Based Color Image Difference

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• Publication Type: Technical Report
• Keywords: image comparisson, perception based rendering

@techreport\{Neumann-1997-PBCID,
  title =      "Perception Based Color Image Difference",
  author =     "Laszlo Neumann and Kresimir Matkovic and Werner Purgathofer",
  year =       "1997",
  abstract =   "A good image metric is often needed in digital image
               synthesis. It can be used to check the convergence behavior
               in progressive methods, to compare images rendered using
               various rendering methods etc. Since images are rendered to
               be observed by humans, an image metric should correspond to
               human perception as well. We propose here a new algorithm
               which operates in the original image space. There is no need
               for Fourier or wavelet transforms. Furthermore, the new
               metric is view distance dependent. The new method uses the
               contrast sensitivity function\cite{[MANN74]}. The main idea
               is to place a number of various rectangles in images, and to
               compute the CIE LUV average color difference between
               corresponding rectangles. Errors are then weighted according
               to the rectangle size and the contrast sensitivity function.",
  address =    "Favoritenstrasse 9-11/186, A-1040 Vienna, Austria",
  institution = "Institute of Computer Graphics and Algorithms, Vienna
               University of Technology",
  note =       "human contact: technical-report@cg.tuwien.ac.at",
  month =      dec,
  number =     "TR-186-2-97-21",
  keywords =   "image comparisson, perception based rendering",
  URL =        "http://www.cg.tuwien.ac.at/research/publications/1997/Neumann-1997-PBCID/",
}