Assisted Auto White Balance

US2018098043A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2018098043-A1
Application numberUS-201715820286-A
CountryUS
Kind codeA1
Filing dateNov 21, 2017
Priority dateDec 10, 2015
Publication dateApr 5, 2018
Grant date

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

Assisted auto white balance is described to improve the overall quality of a captured image, particularly for a single image scene that contains more than one type of illumination. An image is obtained and a depth map is constructed a depth map for the image. The image is white balanced based, at least in part, on the depth map.

First claim

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We claim: 1 . A method comprising: obtaining an image; constructing a depth map for the image; and white balancing the image based, at least in part, on the depth map. 2 . The method as recited in claim 1 , wherein obtaining the image comprises capturing the image using multiple cameras and constructing the depth map comprises using multiple images to construct the depth map. 3 . The method as recited in claim 1 , wherein obtaining the image comprises capturing the image using a single camera having phase detection pixels and constructing the depth map comprises using the image captured with the phase detection pixels. 4 . The method as recited in claim 1 , wherein white balancing the image comprises using a gray world auto white balance algorithm. 5 . The method as recited in claim 1 , wherein white balancing the image comprises using a white patch auto white balance algorithm. 6 . The method as recited in claim 1 , wherein white balancing the image comprises white balancing using a single illuminant. 7 . The method as recited in claim 1 , wherein white balancing the image comprises white balancing using multiple illuminants. 8 . The method as recited in claim 1 , wherein white balancing the image based, at least in part, on the depth map comprises partitioning the image into a plurality of regions based on the depth map, and white balancing multiple regions independently. 9 . A system comprising: one or more processors; one or more computer-readable storage media storing instructions which, when executed by the one or more processors, implement an assisted auto white balance module configured to process a depth map for a captured image and use the depth map to partition the captured image into a plurality of regions which are then independently white balanced by the assisted auto white balance module, the assisted white balance module being further configured to determine an illuminant for each of the white balanced regions and white balance the captured image according to one or more determined illuminants. 10 . The system as recited in claim 9 , wherein the assisted auto white balance module performs white balancing using one or more of a gray world algorithm or a white patch algorithm. 11 . The system as recited in claim 9 embodied as a camera. 12 . The system as recited in claim 9 , wherein the depth map is constructed using information from multiple cameras configured to capture the image. 13 . The system as recited in claim 9 , wherein the depth map is constructed using information from phase detection auto focus sensors of a single camera configured to capture the image. 14 . A system comprising: one or more processors; one or more computer-readable storage media storing instructions which, when executed by the one or more processors, implement an assisted auto white balance module configured to: obtain an image; construct a depth map for the image; and white balance the image based, at least in part, on the depth map. 15 . The system as recited in claim 14 , wherein to obtain the image comprises capturing the image using multiple cameras and to construct the depth map comprises using multiple images to construct the depth map. 16 . The system as recited in claim 14 , wherein to obtain the image comprises capturing the image using a single camera having phase detection pixels and to construct the depth map comprises using the image captured with the phase detection pixels. 17 . The system as recited in claim 14 , wherein to white balance the image comprises using a gray world auto white balance algorithm. 18 . The system as recited in claim 14 , wherein to white balance the image comprises using a white patch auto white balance algorithm. 19 . The system as recited in claim 14 , wherein to white balance the image comprises white balancing using a single illuminant. 20 . The system as recited in claim 14 , wherein to white balance the image comprises white balancing using multiple illuminants.

Assignees

Inventors

Classifications

  • H04N5/2226Primary

    Determination of depth image, e.g. for foreground/background separation (determining depth by image analysis in general G06T7/50; segmentation by image analysis in general G06T7/10) · CPC title

  • for colour balance, e.g. white-balance circuits or colour temperature control · CPC title

  • Arrangement of cameras or camera modules, e.g. multiple cameras in TV studios or sports stadiums · CPC title

  • provided with illuminating means · CPC title

  • Physics · mapped topic

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What does patent US2018098043A1 cover?
Assisted auto white balance is described to improve the overall quality of a captured image, particularly for a single image scene that contains more than one type of illumination. An image is obtained and a depth map is constructed a depth map for the image. The image is white balanced based, at least in part, on the depth map.
Who is the assignee on this patent?
Motorola Mobility Llc
What technology area does this patent fall under?
Primary CPC classification H04N5/2226. Mapped technology areas include Electricity.
When was this patent published?
Publication date Thu Apr 05 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).