We present a fully automatic approach to the detection and correction of red-eye artifacts, as found in consumer photographs. The approach is model-based in that we first detect faces, then detect eyes in the found faces, and finally determine whether the eyes show any red-eye defects. Provided the detection stage found some red-eyes, we attempt to replace the red color by a suitable replacement color. Especial care is taken to ensure smooth transitions between corrected and original parts of the eyes.