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

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.

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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,

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