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ICPR
2004
IEEE

An Efficient Automatic Redeye Detection and Correction Algorithm

9 years 6 months ago
An Efficient Automatic Redeye Detection and Correction Algorithm
A fully automatic redeye detection and correction algorithm is presented to address the redeye artifacts in digital photos. The algorithm contains a redeye detection part and a correction part. The detection part is modeled as a feature based object detection problem. Adaboost is used to simultaneously select features and train the classifier. A new feature set is designed to address the orientation-dependency problem associated with the Haar-like features commonly used for object detection design. For each detected redeye, a correction algorithm is applied to do adaptive desaturation and darkening over the redeye region.
Dan Tretter, Huitao Luo, Jonathan Yen
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2004
Where ICPR
Authors Dan Tretter, Huitao Luo, Jonathan Yen
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