Detecting red eye filter and apparatus using meta-data
First Claim
1. Within a processor-based digital image acquisition device, a method of filtering a red-eye phenomenon from a digital image acquired with said same digital image acquisition device, said digital image comprising a multiplicity of pixels indicative of color, the pixels forming various shapes within the image, the method comprising:
- acquiring a digital image with said processor-based digital image acquisition device;
using a red eye filter stored within the digital image acquisition device;
analyzing, with said red eye filter, information describing conditions under which the image was acquired and meta-data information including image acquisition device-specific information including f-stop, aperture, exposure, gain, white balance or color transformation, or combinations thereof; and
based at least in part on said analyzing, determining with said red eye filter whether one or more regions within said digital image are suspected as including red eye artifact, including one or both of performing shape analysis on a first group of pixels in the vicinity of a red region, including determining whether one or both of an iris shape or an eyebrow line is found, or performing color analysis on the first group of pixels in the vicinity of the red region, including determining whether a white area is found.
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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.
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Citations
36 Claims
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1. Within a processor-based digital image acquisition device, a method of filtering a red-eye phenomenon from a digital image acquired with said same digital image acquisition device, said digital image comprising a multiplicity of pixels indicative of color, the pixels forming various shapes within the image, the method comprising:
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acquiring a digital image with said processor-based digital image acquisition device; using a red eye filter stored within the digital image acquisition device; analyzing, with said red eye filter, information describing conditions under which the image was acquired and meta-data information including image acquisition device-specific information including f-stop, aperture, exposure, gain, white balance or color transformation, or combinations thereof; and based at least in part on said analyzing, determining with said red eye filter whether one or more regions within said digital image are suspected as including red eye artifact, including one or both of performing shape analysis on a first group of pixels in the vicinity of a red region, including determining whether one or both of an iris shape or an eyebrow line is found, or performing color analysis on the first group of pixels in the vicinity of the red region, including determining whether a white area is found. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. One or more non-transitory processor-readable storage devices having embedded therein digital code for programming a processor to perform a method of filtering a red-eye phenomenon from an acquired digital image that includes a multiplicity of pixels indicative of color, the pixels forming various shapes within the image, wherein the method comprises:
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acquiring a digital image with a processor-based digital image acquisition device; using a red eye filter stored within the processor-based digital image acquisition device; analyzing, with said red eye filter, information describing conditions under which the image was acquired and meta-data information including image acquisition device-specific information including f-stop, aperture, exposure, gain, white balance or color transformation, or combinations thereof; and based at least in part on said analyzing, determining with said red eye filter whether one or more regions within said digital image are suspected as including red eye artifact, including one or both of performing shape analysis on a first group of pixels in the vicinity of a red region, including determining whether one or both of an iris shape or an eyebrow line is found, or performing color analysis on the first group of pixels in the vicinity of the red region, including determining whether a white area is found. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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25. A portable processor-based image acquisition device, comprising:
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a lens; an Image sensor; a processor; and a memory having program code embodied therein for programming the processor to perform a method of filtering a red-eye phenomenon from a digital image acquired with the device that includes a multiplicity of pixels indicative of color, the pixels forming various shapes within the image, wherein the method comprises; acquiring a digital image with said processor-based digital image acquisition device; analyzing within the device information describing conditions under which the image was acquired and meta-data information including image acquisition device-specific information including f-stop, aperture, exposure, gain, white balance or color transformation, or combinations thereof; and based at least in part on said analyzing, determining with said red eye filter whether one or more regions within said digital image are suspected as including red eye artifact, including one or both of performing shape analysis on a first group of pixels in the vicinity of a red region, including determining whether one or both of an iris shape or an eyebrow line is found, or performing color analysis on the first group of pixels in the vicinity of the red region, including determining whether a white area is found. - View Dependent Claims (26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36)
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Specification