| 摘要 |
A red-eye detection methodology is provided in which a likelihood of red-eye is estimated on a pixel by pixel basis for at least a portion of a digital image. Pixels that most likely belong to a red-eye area are identified by applying a red-eye probability model that is built from the statistical analysis of a relatively large set of image samples for which red-eye areas have been subjective segregated from non-red-eye areas. By performing some regular statistical analysis of the segregation results, an estimate for red-eye probability for every pixel in the portion of the image of interest may be generated based solely on the RGB (Red, Green, Blue) values of the pixel.
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