Detecting and correcting red-eye in a digital image

Details Detecting and correcting red-eye in a digital image Detecting and correcting red-eye in a digital image

2006-10-03

2006-10-03

Chen, Wenpeng (Department: 2624)

Image analysis

Color image processing

Color correction

C382S117000, C382S275000

Reexamination Certificate

active

07116820

ABSTRACT:
A preliminary set of candidate red-eye pixel areas is identified based on computed pixel redness measures. Candidate red-eye pixel areas having computed redness contrasts relative to respective neighboring pixel areas less than a prescribed redness contrast threshold are filtered from the preliminary set. Candidate red-eye pixel areas located in areas of the digital image having computed grayscale contrasts relative to respective neighboring pixel areas less than a prescribed grayscale contrast threshold also are filtered from the preliminary set. In another aspect, a final pixel mask identifying red-eye pixels and non-red-eye pixels in the candidate red-eye area is generated. Pixels in the candidate red-eye pixel area identified as red-eye pixels in the final pixel mask are desaturated from their original color values by respective scaling factors that vary depending on luminance of the pixels in the candidate red-eye pixel area and proximity of the pixels to boundaries between red-eye pixels and non-red-eye pixels.

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