Detecting Red Eye Filter and Apparatus Using Meta-Data

A cell phone equipped with a digital camera, comprising:

• optics and a sensor for acquiring digital images,
• a processor and
• a red eye filter configured to detect a candidate eye defect region based on color or shape or both within a digital image acquired by said cell phone;
• and
• wherein the red eye filter is configured to analyze meta-data information including image acquisition device-specific information including f-stop, aperture, exposure, gain, white balance, color transformation, focusing distance information at the time of acquisition, or combinations thereof;
• and
• wherein the red eye filter is further configured to analyze anthropometric information including statistics relating to at least one relationship between said focusing distance information at the time of acquisition and a location of a second detected eye, lips, nostrils or a surrounding face, or combinations thereof;
• and
• wherein said red eye filter is further configured to utilize said meta-data and anthropometric information to determine whether said candidate eye defect region is suspected as including an eye defect region;
• and to filter said candidate eye defect region from the digital image.

One or more non-transitory media configured to perform one a cell phone equipped with a digital camera a method of detecting and correcting an eye defect within a digital image that was acquired with said cell phone equipped with said digital camera and that comprises a multiplicity of pixels indicative of luminance and color, the pixels forming various shapes within the image, wherein the method comprises:

• detecting a candidate eye defect region based on color or shape or both within said digital image acquired with said cell phone equipped with said digital camera;
• analyzing meta-data information including image acquisition device-specific information, including f-stop, aperture, exposure, gain, white balance, color transformation, or focusing distance information at the time of acquisition, or combinations thereof;
• analyzing anthropometric information including statistics relating to at least one relationship between said focusing distance information at the time of acquisition and a location of a second detected eye, lips, nostrils or a surrounding face, or combinations thereof;
• utilizing meta-data and anthropometric information to determine whether said candidate eye defect region is suspected as including an eye defect region;
• and
• filtering said candidate eye defect region from the digital image.