Automatic white balancing via illuminant scoring autoexposure by neural network mapping
First Claim
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1. A method of autoexposure, comprising:
- (a) partitioning an image into areas;
(b) for each of said areas, extracting illuminance mean, illuminance variance, illuminance minimum, and illuminance maximum; and
(c) determining exposure from the results of step (b).
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Abstract
Automatic white balancing and/or autoexposure as useful in a digital camera extracts color channel gains from comparisons of image colors with reference colors under various color temperature illuminants and/or extracts exposure settings from illuminance mean, illuminance variance, illuminance minimum, and illuminance maximum in areas of an image with a trained neural network.
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Citations
4 Claims
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1. A method of autoexposure, comprising:
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(a) partitioning an image into areas;
(b) for each of said areas, extracting illuminance mean, illuminance variance, illuminance minimum, and illuminance maximum; and
(c) determining exposure from the results of step (b). - View Dependent Claims (2, 3)
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4. A camera exposure control, comprising:
(a) a neural network trained to output exposure for an input of illuminance mean, illuminance variance, illuminance minimum, and illuminance maximum.
Specification