Back to articles
Articles
Volume: 11 | Article ID: art00011
Image
Region-Based Image Classification for Automatic Color Correction
  DOI :  10.2352/CIC.2003.11.1.art00011  Published OnlineJanuary 2003
Abstract

This work presents a framework for image classification based on region information. The main application of this framework is for automatic color correction of real-scene images. Class specific color correction is already implemented in some systems, but image classification usually relies on global image features only. Our region-based approach shows a significant improvement over previously achieved classification for a variety of critical image classes. Improved image classification can directly be translated into improved automatic color correction.

Subject Areas :
Views 16
Downloads 0
 articleview.views 16
 articleview.downloads 0
  Cite this article 

Clément Fredembach, Michael Schröder, Sabine Süsstrunk, "Region-Based Image Classification for Automatic Color Correctionin Proc. IS&T 11th Color and Imaging Conf.,  2003,  pp 59 - 65,  https://doi.org/10.2352/CIC.2003.11.1.art00011

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2003
72010350
Color and Imaging Conference
color imaging conf
2166-9635
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA