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Color enhancement algorithm for remotely sensed false color image, using uniform color scale

  • Johji Tajima
  • Minoru Murata
  • Hisao Aiba
  • Hidetoshi Takaoka
  • Jiro Komai
Image Restoration And Enhancement
Part of the Lecture Notes in Computer Science book series (LNCS, volume 301)

Abstract

The improved LUV algorithm could highly enhance the false color image with preserved brightness and hue sensation. The resulting pictures met with approval. The algorithm was implemented as a library software and is planned to be used at Earth Resources Satellite Data Analysis Center.

There was a problem in this algorithm being used at a public center. Because this algorithm fully makes use of human color perception characteristics, displayed color should be same as that denoted by the computed (R,G,B) value. It is very important to calibrate color monitors used at the computer center so that an individual primary color brightness is proportional to each value. This problem had been also solved by the authors[4]. Using devices calibrated in such a manner, effective display was obtained.

Keywords

Principal Axis Color Difference Color Distribution False Color False Color Image 
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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References

  1. [1]
    J. Tajima:”Uniform Color Scale Applications to Computer Graphics”, CVGIP, Vol.21, No.3,pp, 305–325, March, 1983.Google Scholar
  2. [2]
    T. Kaneko:”Color Composite Pictures from Principal Axis Components of Multispectral Scanner Data”, IBM J. RES. DEVELOP., Vol. 22, No. 4, pp. 386–392, July, 1978.Google Scholar
  3. [3]
    D.B.Judd and G.Wyszecki:”Color in Business, Science, and Industry”, Third Ed., Wiley, 1975Google Scholar
  4. [4]
    J.Tajima and Y.Yui:”Color Reproduction Simulation for Color Printing”, IECE Japan, IE84-78, Dec., 1984 (in Japanese)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1988

Authors and Affiliations

  • Johji Tajima
    • 1
  • Minoru Murata
    • 1
  • Hisao Aiba
    • 1
  • Hidetoshi Takaoka
    • 1
    • 2
  • Jiro Komai
    • 1
    • 3
  1. 1.NEC CorporationKawasakiJapan
  2. 2.Sumitomo Metal Mining Co.,LTD.Tokyo
  3. 3.Earth Resources Satellite Data Analysis CenterTokyo

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