Sensor noise profile
First Claim
Patent Images
1. A method of extracting a feature from an image, the method comprising performing, in a processor or circuitry, steps of:
- receiving a digital image from a sensor;
demosaicing the digital image;
prior to demosaicing the digital image, taking an input image from the digital image for feature extraction; and
performing feature extraction on the input image, wherein the step of performing feature extraction comprises;
using a model or profile of noise comprising a variance of the noise in the sensor in defined areas of the input image to normalize a response of a feature extraction algorithm;
applying the feature extraction algorithm to the input image; and
for each pixel of the input image;
calculating an edge response for an orientation, andnormalizing the edge response for the orientation by taking into account the variance in the noise in the sensor.
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Abstract
The invention relates to feature extraction technique based on edge extraction. It can be used in computer vision systems, including image/facial/object recognition systems, scene interpretation, classification and captioning systems. A model or profile of the noise in the sensor is used to improve feature extraction or object detection on an image from a sensor.
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Citations
18 Claims
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1. A method of extracting a feature from an image, the method comprising performing, in a processor or circuitry, steps of:
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receiving a digital image from a sensor; demosaicing the digital image; prior to demosaicing the digital image, taking an input image from the digital image for feature extraction; and performing feature extraction on the input image, wherein the step of performing feature extraction comprises; using a model or profile of noise comprising a variance of the noise in the sensor in defined areas of the input image to normalize a response of a feature extraction algorithm; applying the feature extraction algorithm to the input image; and for each pixel of the input image; calculating an edge response for an orientation, and normalizing the edge response for the orientation by taking into account the variance in the noise in the sensor. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. Image processing hardware configured to:
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receive a digital image from a sensor; demosaic the digital image; prior to demosaicing the digital image, take an input image from the digital image for feature extraction; and perform feature extraction on the input image, wherein the step of performing feature extraction comprises; using a model or profile of noise comprising a variance of the noise in the sensor in defined areas of the input image to normalize a response of a feature extraction algorithm; applying the feature extraction algorithm to the input image; and for each pixel of the input image; calculating an edge response for an orientation, and normalizing the edge response for the orientation by taking into account the variance in the noise in the sensor.
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17. A device including image processing hardware configured to:
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receive a digital image from a sensor; demosaic the digital image; prior to demosaicing the digital image, take an input image from the digital image for feature extraction; and perform feature extraction on the input image, wherein the step of performing feature extraction comprises; using a model or profile of noise in the sensor to normalize a response of a feature extraction algorithm; applying the feature extraction algorithm to the input image; and for each pixel of the input image; calculating an edge response for an orientation, and normalizing the edge response for the orientation by taking into account the variance in the noise in the sensor. - View Dependent Claims (18)
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Specification