Noise models for image processing
First Claim
1. A method comprising:
- obtaining, by a computing device, a plurality of images of a scene, wherein the plurality of images were captured by an image sensor, and wherein the plurality of images includes a first image and a second image, wherein a particular gain has been applied to the first image;
determining an effective color temperature and a brightness of a first pixel in the first image;
based on the effective color temperature and the particular gain, selecting a mapping between pixel characteristics and noise deviation of the image sensor, wherein the pixel characteristics include pixel brightness, and wherein the noise deviation characterizes error introduced by the image sensor when capturing images with the effective color temperature and the particular gain;
using the selected mapping to map at least the brightness of the first pixel to a particular noise deviation;
comparing the brightness of the first pixel and the particular noise deviation to a brightness of a second pixel of the second image; and
based on the comparison, determining whether to merge the first pixel and the second pixel.
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Accused Products
Abstract
A plurality of images of a scene may be obtained. These images may have been captured by an image sensor, and may include a first image and a second image. A particular gain may have been applied to the first image. An effective color temperature and a brightness of a first pixel in the first image may be determined, and a mapping between pixel characteristics and noise deviation of the image sensor may be selected. The pixel characteristics may include pixel brightness. The selected mapping may be used to map at least the brightness of the first pixel to a particular noise deviation. The brightness of the first pixel and the particular noise deviation may be compared to a brightness of a second pixel of the second image. The comparison may be used to determine whether to merge the first pixel and the second pixel.
115 Citations
20 Claims
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1. A method comprising:
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obtaining, by a computing device, a plurality of images of a scene, wherein the plurality of images were captured by an image sensor, and wherein the plurality of images includes a first image and a second image, wherein a particular gain has been applied to the first image; determining an effective color temperature and a brightness of a first pixel in the first image; based on the effective color temperature and the particular gain, selecting a mapping between pixel characteristics and noise deviation of the image sensor, wherein the pixel characteristics include pixel brightness, and wherein the noise deviation characterizes error introduced by the image sensor when capturing images with the effective color temperature and the particular gain; using the selected mapping to map at least the brightness of the first pixel to a particular noise deviation; comparing the brightness of the first pixel and the particular noise deviation to a brightness of a second pixel of the second image; and based on the comparison, determining whether to merge the first pixel and the second pixel. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. An article of manufacture including a non-transitory computer-readable medium, having stored thereon program instructions that, upon execution by a computing device, cause the computing device to perform operations comprising:
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obtaining a plurality of images of a scene captured by an image sensor, wherein the plurality of images includes a first image and a second image, and wherein a particular gain has been applied to the first image; determining an effective color temperature and a brightness of a first pixel in the first image; based on the effective color temperature and the particular gain, selecting a mapping between pixel characteristics and noise deviation of the image sensor, wherein the pixel characteristics include pixel brightness, and wherein the noise deviation characterizes error introduced by the image sensor when capturing images with the effective color temperature and the particular gain; using the selected mapping to map at least the brightness of the first pixel to a particular noise deviation; comparing the brightness of the first pixel and the particular noise deviation to a brightness of a second pixel of the second image; and based on the comparison, determining whether to merge the first pixel and the second pixel. - View Dependent Claims (14, 15, 16, 17)
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18. A computing device comprising:
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at least one processor; data storage; and program instructions, stored in the data storage, that upon execution by the at least one processor cause the computing device to perform operations including; obtaining a plurality of images of a scene captured by an image sensor, wherein the plurality of images includes a first image and a second image, and wherein a particular gain has been applied to the first image; determining an effective color temperature and a brightness of a first pixel in the first image; based on the effective color temperature and the particular gain, selecting a mapping between pixel characteristics and noise deviation of the image sensor, wherein the pixel characteristics include pixel brightness, and wherein the noise deviation characterizes error introduced by the image sensor when capturing images with the effective color temperature and the particular gain; using the selected mapping to map at least the brightness of the first pixel to a particular noise deviation; comparing the brightness of the first pixel and the particular noise deviation to a brightness of a second pixel of the second image; and based on the comparison, determining whether to merge the first pixel and the second pixel. - View Dependent Claims (19, 20)
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Specification