Detection and correction of red-eye features in digital images
First Claim
Patent Images
1. A method of detecting red-eye features in a digital image, comprising:
- identifying pupil regions in the image, a pupil region comprising;
a first saturation peak adjacent a first edge of the pupil region comprising one or more pixels having a higher saturation than pixels immediately outside the pupil region;
a second saturation peak adjacent a second edge of the pupil region comprising one or more pixels having a higher saturation than pixels immediately outside the pupil region; and
a saturation trough between the first and second saturation peaks, the saturation trough comprising one or more pixels having a lower saturation than the pixels in the first and second saturation peaks; and
determining whether each pupil region corresponds to part of a red-eye feature on the basis of further selection criteria.
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Abstract
A method of detecting red-eye features (1) in a digital image comprises identifying highlight regions (2) of the image having pixels with a substantially red hue and higher saturation and lightness values than pixels in the regions therearound. In addition, pupil regions (3) comprising two saturation peaks either side of a saturation trough may be identified. It is then determined whether each highlight or pupil region corresponds to part of a red-eye feature on the basis of further selection criteria, which may include determining whether there is an isolated, substantially circular area (43) of correctable pixels around a reference pixel. Correction of red-eye features involves reducing the lightness and/or saturation of some or all of the pixels in the red-eye feature.
87 Citations
52 Claims
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1. A method of detecting red-eye features in a digital image, comprising:
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identifying pupil regions in the image, a pupil region comprising;
a first saturation peak adjacent a first edge of the pupil region comprising one or more pixels having a higher saturation than pixels immediately outside the pupil region;
a second saturation peak adjacent a second edge of the pupil region comprising one or more pixels having a higher saturation than pixels immediately outside the pupil region; and
a saturation trough between the first and second saturation peaks, the saturation trough comprising one or more pixels having a lower saturation than the pixels in the first and second saturation peaks; and
determining whether each pupil region corresponds to part of a red-eye feature on the basis of further selection criteria. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 16, 41, 42, 43, 44, 47, 48, 49, 52)
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9. A method of detecting red-eye features in a digital image, comprising:
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identifying pupil regions in the image by searching for a row of pixels with a predetermined saturation profile, and confirming that selected pixels within that row have lightness values satisfying predetermined conditions; and
determining whether each pupil region corresponds to part of a red-eye feature on the basis of further selection criteria.
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10. A method of detecting red-eye features in a digital image, comprising:
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identifying pupil regions in the image, a pupil region including a row of pixels comprising;
a first pixel having a lightness value lower than that of the pixel immediately to its left;
a second pixel having a lightness value higher than that of the pixel immediately to its left;
a third pixel having a lightness value lower than that of the pixel immediately to its left; and
a fourth pixel having a lightness value higher than that of the pixel immediately to its left;
wherein the first, second, third and fourth pixels are identified in that order when searching along the row of pixels from the left; and
determining whether each pupil region corresponds to part of a red-eye feature on the basis of further selection criteria. - View Dependent Claims (11, 12, 13)
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14. A method of detecting red-eye features in a digital image, comprising:
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identifying highlight regions of the image having pixels with a substantially red hue and higher saturation and lightness values than pixels in the regions therearound; and
determining whether each highlight region corresponds to part of a red-eye feature on the basis of further selection criteria. - View Dependent Claims (15, 17, 28)
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- 18. A method as claimed in 16, wherein the further selection criteria include determining whether there is an isolated area of correctable pixels around the reference pixel, a correctable pixel satisfying conditions of hue, saturation and/or lightness to enable a red-eye correction to be applied to that pixel.
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23. A method of detecting red-eye features in a digital image, comprising:
determining whether there is a red-eye feature present around a reference pixel in the digital image, by determining whether there is an isolated, substantially circular area of correctable pixels around the reference pixel, a pixel being classified as correctable if it has a hue greater than or equal to about 220 or less than or equal to about 10, a saturation greater than about 80, and a lightness less than about 200.
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50. (Cancelled)
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51. (Cancelled)
Specification
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Current AssigneePixology Software Limited
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Original AssigneePixology Ltd. (Oracle Corporation)
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InventorsNormington, Daniel, Archibald, Marion, Biggs, Nigel, Lafferty, Richard, Stroud, Mike, Jarman, Nick
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Application NumberUS10/416,368Publication NumberTime in Patent OfficeDaysField of SearchUS Class Current382/274CPC Class CodesH04N 1/624 Red-eye correction control ...
