Back to articles
Articles
Volume: 18 | Article ID: art00014
Image
Predicting Camera Color Quality
  DOI :  10.2352/issn.2168-3204.2021.1.0.14  Published OnlineJune 2021
Abstract

Color quality can be measured two ways. The first is target based where color-difference statistics are reported comparing image data with measurement-based colorimetric data. The second is based on measuring the camera sensor’s spectral sensitivities and calculating their similarity to a standard observer, for example, μ-factor. A computational experiment was performed where synthetic images of a variety of targets were rendered for four camera systems having μ-factors of 0.79, 0.88, 0.94, and 0.99. Each camera was profiled using the same target. Although profile color accuracy was acceptable for all the cameras, this did not predict the color accuracy for independent targets. μ-factor was a better predictor of color quality and its use is recommended when evaluating cameras for cultural heritage applications

Subject Areas :
Views 29
Downloads 8
 articleview.views 29
 articleview.downloads 8
  Cite this article 

Roy S. Berns, "Predicting Camera Color Qualityin Proc. IS&T Archiving 2021,  2021,  pp 61 - 64,  https://doi.org/10.2352/issn.2168-3204.2021.1.0.14

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2021
72010361
Archiving Conference
archiving
2161-8798
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA