Title :
Automatic red-eye detection and correction
Author :
Gaubatz, Matthew ; Ulichney, Robert
Author_Institution :
Cornell Univ., Ithaca, NY, USA
Abstract :
"Red-eye" is a phenomenon that causes the eyes of flash photography subjects to appear unnaturally reddish in color. Though commercial solutions exist for red-eye correction, all of them require some measure of user intervention. A method is presented to automatically detect and correct redeye in digital images. First, faces are detected with a cascade of multi-scale classifiers. The red-eye pixels are then located with several refining masks computed over the facial region. The masks are created by thresholding per-pixel metrics, designed to detect red-eye artifacts. Once the redeye pixels have been found, the redness is attenuated with a tapered color desaturation. A detector implemented with this system corrected 95% of the red-eye artifacts in 200 tested images.
Keywords :
image classification; image colour analysis; photography; automatic red-eye detection and correction; color; digital images; facial region; flash photography; multi-scale classifiers; per-pixel metrics; red-eye artifacts; red-eye pixels; redeye; refining masks; tapered color desaturation; thresholding; Cameras; Digital images; Eyes; Face detection; Gas detectors; Lenses; Photography; Retina; Shape measurement; System testing;
Conference_Titel :
Image Processing. 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7622-6
DOI :
10.1109/ICIP.2002.1038147