Method For Red-eye Detection
First Claim
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1. A method comprising:
- generating a pixel map of a digital image;
scanning the pixel map and labeling a found red pixel;
wherein each row of the pixel map is scanned for a red pixel;
wherein a coordinate of each labeled red pixel is stored and compared to surrounding red pixels;
arranging found labeled red pixels with adjacent previously found labeled red pixels thereby creating a contiguous group;
determining if the contiguous group is a red-eye artifact; and
creating a list of coordinates that denote red-eye artifacts within the digital image.
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Abstract
A method involving generating a pixel map of a digital image, scanning the pixel map and labeling a found red pixel, where each row of the pixel map is scanned for a red pixel, where a coordinate of each labeled red pixel is stored and compared to surrounding red pixels, arranging found labeled red pixels with previously found labeled red pixels that have a corresponding y-axis coordinate thereby creating a contiguous group, determining if the contiguous group is a red-eye artifact, and creating a list of coordinates that denote red-eye artifacts within the digital image.
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Citations
15 Claims
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1. A method comprising:
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generating a pixel map of a digital image; scanning the pixel map and labeling a found red pixel; wherein each row of the pixel map is scanned for a red pixel; wherein a coordinate of each labeled red pixel is stored and compared to surrounding red pixels; arranging found labeled red pixels with adjacent previously found labeled red pixels thereby creating a contiguous group; determining if the contiguous group is a red-eye artifact; and creating a list of coordinates that denote red-eye artifacts within the digital image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A system for determining the presence of red-eye comprising:
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a digital sampler; wherein a digital image is sampled down by the digital sampler; a pixel map; wherein the pixel map is a two dimensional map of the digital image; a pixel eliminator; a pixel segmentor; wherein the pixel segmentor passes over the data using a two dimensional array a single time; and a group classifier that checks contiguous groups of red pixels to determine if a red-eye condition exist. - View Dependent Claims (10, 11)
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12. A method for determining the presence of red eye comprising:
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scanning a pixel map and measuring a redness level of each pixel with a redness computation; wherein the redness computation is completed in one or more stages; wherein the redness level of each pixel is compared to a defined redness threshold in each stage; labeling each found red pixel and storing the corresponding coordinates on the pixel map; arranging found labeled red pixels with previously found labeled red pixels that have a corresponding y-axis coordinate thereby creating a contiguous group; determining if the contiguous group is a red-eye artifact; and creating a list of coordinates that denote red-eye artifacts within the digital image. - View Dependent Claims (13, 14, 15)
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Specification