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.


Published in:
Proc. IS&T/SID 11th Color Imaging Conference, 11, 59-65
Presented at:
IS&T/SID 11th Color Imaging Conference, Scottsdale, AZ, November 2003
Year:
2003
Keywords:
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 Record created 2005-05-21, last modified 2018-03-17

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