1. A method of detecting and correcting an eye defect within an acquired digital image comprising a multiplicity of pixels indicative of luminance and color, the pixels forming various shapes within the image, the method comprising: acquiring a digital image including said multiplicity of pixels indicative of luminance and color; detecting a candidate eye defect region based on color within the digital image; determining a size of the candidate eye defect region; analyzing meta-data information including image acquisition device-specific information, including f-stop, aperture, exposure, gain, white balance or color transformation, or combinations thereof; analyzing anthropometric information including statistics relating to at least one relationship between said size of said candidate eye defect region and a location of a second detected eye, lips, nostrils or a surrounding face, or combinations thereof; utilizing said meta-data and anthropometric information, and a probability of detection of said second detected eye, lips, nostrils or said surrounding face, or combinations thereof, to determine whether said candidate eye defect region is suspected as including a eye defect region.