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EUROGRAPHICS 2008
 
Characterization for High Dynamic Range Imaging
 
         
  Min H. Kim Jan Kautz  
         
  Dept. of Computer Science, University College London  
 
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  Abstract
   
  In this paper we present a new practical camera characterization technique to improve color accuracy in high dynamic range (HDR) imaging. Camera characterization refers to the process of mapping device-dependent signals, such as digital camera RAW images, into a well-defined color space. This is a well-understood process for low dynamic range (LDR) imaging and is part of most digital cameras - usually mapping from the raw camera signal to the sRGB or Adobe RGB color space. This paper presents an efficient and accurate characterization method for high dynamic range imaging that extends previous methods originally designed for LDR imaging. We demonstrate that our characterization method is very accurate even in unknown illumination conditions, effectively turning a digital camera into a measurement device that measures physically accurate radiance values - both in terms of luminance and color - rivaling more expensive measurement instruments.
   
  BibTeX
  
@Article{Kim_Kautz:2008b,
  author  = {Min H. Kim and Jan Kautz},
  title   = {Characterization for High Dynamic Range Imaging},
  journal = {Computer Graphics Forum (Proc. EUROGRAPHICS 2008)},
  year    = {2008},
  volume  = {27},
  number  = {2},
  pages   = {691--697},
  doi     = {10.1.1.151.6187},
  URL     = "http://diglib.eg.org/EG/DL/CGF/volume27/issue2/
v27i2pp691-697.pdf.abstract.pdf"
}
   
   
   
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Related Project:
HDR Color Perception
(SIGGRAPH 2009)

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