1. A method for removing one or more red eyes, comprising: identifying potential red eye pixels in a low resolution image (hereafter “LR red eye pixels”), wherein the low resolution image is generated from a high resolution image; grouping the LR red eye pixels that are contiguous into one or more red eye regions (herafter “LR red eye regions”); determining working areas around the LR red eye regions in the low resolution image (hereafter “LR working areas”); training classifiers from the LR working areas; retrieving working areas from the high resolution image that correspond to the LR working areas (hereafter “HR working area”); applying the classifiers to the HR working areas to identify potential red eye pixels in the HR working areas (hereafter “HR red eye pixels”); grouping the HR red eye pixels that are contiguous into one or more red eye regions (hereafter “HR red eye regions”); determining one or more of the HR red eye regions as one or more red eyes; and replacing the HR red eye pixels in said one or more red eyes with black pixels.