AUTOFOCUS TECHNIQUE UTILIZING GRADIENT HISTOGRAM DISTRIBUTION CHARACTERISTICS
First Claim
Patent Images
1. A method for estimating if an optical assembly is focused on a scene, the method comprising the steps of:
- capturing information for an image of the scene;
determining an image gradient histogram distribution of at least a portion of the image;
determining a Gaussian model gradient histogram distribution of at least a portion of the image; and
comparing at least a portion of the image gradient histogram distribution to the Gaussian model gradient histogram distribution of the image to estimate if the image is in focus.
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Abstract
A method for estimating if an optical assembly (238) is focused on a scene (12) includes the steps of: capturing information for an image (14) of the scene (12); determining an image gradient histogram distribution (360) of at least a portion of the image (14); determining a Gaussian model gradient histogram distribution (361) of the image (14); and comparing at least a portion of the image gradient histogram distribution (360) to the Gaussian model gradient histogram distribution (361) of the image (14) to estimate if the image (14) is properly focused.
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Citations
22 Claims
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1. A method for estimating if an optical assembly is focused on a scene, the method comprising the steps of:
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capturing information for an image of the scene; determining an image gradient histogram distribution of at least a portion of the image; determining a Gaussian model gradient histogram distribution of at least a portion of the image; and comparing at least a portion of the image gradient histogram distribution to the Gaussian model gradient histogram distribution of the image to estimate if the image is in focus. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A method for estimating when an optical assembly is focused on a scene, the method comprising the steps of:
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capturing a plurality of images of the scene, each image being captured with the optical assembly at a different adjustment; and determining an image gradient histogram distribution for each of images. - View Dependent Claims (8, 9, 10, 11)
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12. An image apparatus for capturing an image of a scene, the image apparatus comprising:
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a capturing system for capturing information for a thru image of the scene; a control system that (i) determines an image gradient histogram distribution of at least a portion of the thru image, (ii) determines a Gaussian model gradient histogram distribution of the thru image, and (iii) compares at least a portion of the image gradient histogram distribution to the Gaussian model gradient histogram distribution of the thru image to estimate if the thru image is in focus. - View Dependent Claims (13, 14, 15, 16, 17)
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18. An image apparatus for capturing an image of a scene, the image apparatus comprising:
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an optical assembly; a capturing system for capturing information for a plurality of thru images of the scene with each thru image being captured while the optical assembly is at a different adjustment; and a control system that determines an image gradient histogram distribution for each of the thru image. - View Dependent Claims (19, 20, 21, 22)
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Specification