Back to articles
Articles
Volume: 5 | Article ID: art00009
Image
Accurate mapping of natural scenes radiance to cone activation space: a new image dataset
C.A. Párraga
R. Baldrich
M. Vanrell
  DOI :  10.2352/CGIV.2010.5.1.art00009  Published Online :  January 2010
Abstract

The characterization of trichromatic cameras is usually done in terms of a device-independent color space, such as the CIE 1931 XYZ space. This is indeed convenient since it allows the testing of results against colorimetric measures. We have characterized our camera to represent human cone activation by mapping the camera sensor's (RGB) responses to human (LMS) through a polynomial transformation, which can be “customized” according to the types of scenes we want to represent. Here we present a method to test the accuracy of the camera measures and a study on how the choice of training reflectances for the polynomial may alter the results.

Journal Title : Conference on Colour in Graphics, Imaging, and Vision
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
Subject Areas :
Views 8
Downloads 2
 DOI 10.2352/CGIV.2010.5.1.art00009
 articleview.views 8
 articleview.downloads 2
  Cite this article 

C.A. Párraga, R. Baldrich, M. Vanrell, "Accurate mapping of natural scenes radiance to cone activation space: a new image dataset"  in Proc. IS&T CGIV 2010/MCS'10 5th European Conf. on Colour in Graphics, Imaging, and Vision 12th Int'l Symp. on Multispectral Colour Science,  2010,  pp 50 - 57,  https://doi.org/10.2352/CGIV.2010.5.1.art00009

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2010
72010351
Conference on Colour in Graphics, Imaging, and Vision
conf colour graph imag vis
2158-6330
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2158-6330(20100101)2010:1L.50;1-
cgiv_v2010n1/splitsection9.xml
/ist/cgiv/2010/00002010/00000001/art00009
Articles
Accurate mapping of natural scenes radiance to cone activation space: a new image dataset
PárragaC.A.
BaldrichR.
VanrellM.
01012010
2010
1
50
57
2010
The characterization of trichromatic cameras is usually done in terms of a device-independent color space, such as the CIE 1931 XYZ space. This is indeed convenient since it allows the testing of results against colorimetric measures. We have characterized our camera to represent human cone activation by mapping the camera sensor's (RGB) responses to human (LMS) through a polynomial transformation, which can be “customized” according to the types of scenes we want to represent. Here we present a method to test the accuracy of the camera measures and a study on how the choice of training reflectances for the polynomial may alter the results.