Region-based image classification for automatic color correction

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.


Publié dans:
Proc. IS&T/SID 11th Color Imaging Conference, 11, 59-65
Présenté à:
IS&T/SID 11th Color Imaging Conference, Scottsdale, AZ, November 2003
Année
2003
Mots-clefs:
Laboratoires:




 Notice créée le 2005-05-21, modifiée le 2019-12-05

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