Back to articles
Volume: 9 | Article ID: art00008
Automatic Color Correction based on Generic Content Based Image Analysis
  DOI :  10.2352/CIC.2001.9.1.art00008  Published OnlineJanuary 2001

In this paper, we present a novel concept of color correction for consumer digital still camera (DSC) images. This concept is based on a hierarchical Bayesian image content analysis consisting of feature extraction and unsupervised clustering and on a set of color correction algorithms that have been optimized on the obtained characteristic image classes. Since the concept uses Bayesian inference to combine several color correction results, further available information (e.g., obtained from camera metadata) can be easily integrated into the color correction process.

Subject Areas :
Views 7
Downloads 0
 articleview.views 7
 articleview.downloads 0
  Cite this article 

Michael Schröder, Stefan Moser, "Automatic Color Correction based on Generic Content Based Image Analysisin Proc. IS&T 9th Color and Imaging Conf.,  2001,  pp 41 - 45,

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2001
Color and Imaging Conference
color imaging conf
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA