AUTOMATED RED-EYE DETECTION AND CORRECTION IN DIGITAL PHOTOGRAPHS (WA-S1)

Author(s) : Lei Zhang (Microsoft Research Asia, China) Yanfeng Sun (Microsoft Research Asia, China) Mingjing Li (Microsoft Research Asia, China) Hongjiang Zhang (Microsoft Research Asia, China)

Abstract : Caused by light reflected off the subject's retina, red-eye is a troublesome problem in consumer photography. Although most of the cameras have the red-eye reduction mode, the result reality is that no on-camera system is completely effective. In this paper, we propose a fully automatic approach to detecting and correcting red-eyes in digital images. In order to detect red-eyes in a picture, a heuristic yet efficient algorithm is first adopted to detect a group of candidate red regions, and then an eye classifier is utilized to confirm whether each candidate region is a human eye. Thereafter, for each detected red-eye, we can correct it by the correction algorithm. In case that a red-eye cannot be detected automatically, another algorithm is also provided to detect red-eyes manually with the user¡¯s interaction by clicking on an eye. Experimental results on about 300 images with various red-eye appearances demonstrate that the proposed solution is robust and effective.

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