Perception Based Color Image Difference

Information

• Publication Type: Technical Report
• Workgroup(s)/Project(s): not specified
• Date: December 1997
• Number: TR-186-2-97-21
• Keywords: image comparisson, perception based rendering

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.

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BibTeX

@techreport{Neumann-1997-PBCID,
  title =      "Perception Based Color Image Difference",
  author =     "L\'{a}szl\'{o} 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.",
  month =      dec,
  number =     "TR-186-2-97-21",
  address =    "Favoritenstrasse 9-11/E193-02, A-1040 Vienna, Austria",
  institution = "Institute of Computer Graphics and Algorithms, Vienna
               University of Technology ",
  note =       "human contact: technical-report@cg.tuwien.ac.at",
  keywords =   "image comparisson, perception based rendering",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/1997/Neumann-1997-PBCID/",
}