Color Compensation Using Nonlinear Luminance-RGB Component Curve of a Camera

  • Sejung Yang
  • Yoon-Ah Kim
  • Chaerin Kang
  • Byung-Uk Lee
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6939)


Many color image processing methods employ gray scale image algorithms first and then apply color mapping afterwards. Most popular gamut mapping techniques are hue-preserving methods such as shifting or scaling of color components. However, those methods result in unnatural modification of color saturation. In this paper, we propose a novel color mapping method based on nonlinear luminance-RGB component characteristic curves of a camera taking the image. We obtain an accurate color value after luminance enhancement using luminance-RGB curves of the camera. All experiments demonstrate that our algorithm is effective and suitable to be embedded in a camera because of its simplicity and accuracy in color enhancement of digital images.


Subjective Image Quality Color Saturation Luminance Change Ground Truth Image High Dynamic Range Imaging 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Sejung Yang
    • 1
  • Yoon-Ah Kim
    • 1
  • Chaerin Kang
    • 1
  • Byung-Uk Lee
    • 1
  1. 1.Dept. of Electronics EngineeringEwha Womans UniversitySeoulKorea

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