Detecting red eye filter and apparatus using meta-data
First Claim
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 or shape or both within the digital image;
analyzing meta-data information including image acquisition device-specific information including image acquisition device-specific information, including f-stop, aperture, exposure, gain, white balance or color transformation, or combinations thereof, and further including focusing distance information at the time of acquisition, and information describing conditions under which the image was acquired;
analyzing anthropometric information including statistics relating to at least one relationship between said focusing distance information at the time of acquisition as recorded by said auto-focus mechanism 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.
5 Assignments
0 Petitions
Accused Products
Abstract
A method of filtering a red-eye phenomenon from an acquired digital image including a multiplicity of pixels indicative of color, the pixels forming various shapes of the image, includes analyzing meta-data information, determining one or more regions within the digital image suspected as including red eye artifact, and determining, based at least in part on the meta-data analysis, whether the regions are actual red eye artifact. The meta-data information may include information describing conditions under which the image was acquired, captured and/or digitized, acquisition device-specific information, and film information.
13 Citations
24 Claims
-
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 or shape or both within the digital image; analyzing meta-data information including image acquisition device-specific information including image acquisition device-specific information, including f-stop, aperture, exposure, gain, white balance or color transformation, or combinations thereof, and further including focusing distance information at the time of acquisition, and information describing conditions under which the image was acquired; analyzing anthropometric information including statistics relating to at least one relationship between said focusing distance information at the time of acquisition as recorded by said auto-focus mechanism 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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 22)
-
-
8. A portable digital camera, including optics and a sensor for acquiring digital images, a microprocessor and a red eye filter to perform a method of detecting and correcting an eye defect within an acquired digital image that comprises 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 or shape or both within the digital image; analyzing meta-data information including image acquisition device-specific information including image acquisition device-specific information, including f-stop, aperture, exposure, gain, white balance or color transformation, or combinations thereof, and further including focusing distance information at the time of acquisition, and information describing conditions under which the image was acquired; 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. - View Dependent Claims (9, 10, 11, 12, 13, 14, 23)
-
-
15. One or more non-transitory media to program a digital camera to perform a method of detecting and correcting an eye defect within an acquired digital image that comprises 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 or shape or both within the digital image; analyzing meta-data information including image acquisition device-specific information including image acquisition device-specific information, including f-stop, aperture, exposure, gain, white balance or color transformation, or combinations thereof, and further including focusing distance information at the time of acquisition, and information describing conditions under which the image was acquired; 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. - View Dependent Claims (16, 17, 18, 19, 20, 21, 24)
-
Specification