Qualcomm Incorporated

Kyuseo Han

Jisoo Lee

Ho Sang Lee

Hengzhou Ding

Soman Ganesh Nikhara

Ying Noyes

Pradeep Kumar Veeramalla

Leung Chun Chan

Loic Francois Segapelli

Aspects of the present disclosure relate to systems and methods for performing automatic white balance (AWB). An example device may include a memory and a processor coupled to the memory. The processor may be configured to receive a first image of a scene, measure a first illuminant of the first received image, compare the first illuminant and a first illuminant value, determine the scene is changing between the first received image and a previous image based on the comparison, adjust a first AWB convergence rate to a second AWB convergence rate in response to determining the scene is changing, and converge from a first balancing factor to a second balancing factor for one or more white balance operations based on the second AWB convergence rate.

Systems and methods for automatic white balance

An original depth-map of a depth-natural image can be generated. The depth-natural image can include image pixels. The original depth-map can include original depths mapping to one or more of the image pixels. An edge in the depth-natural image can be detected. A supplementary depth can be interpolated based on the original depths and the detected edge. The depth-natural image can be blurred based on the interpolated supplementary depth to generate a depth-artificial image.

Generation of a depth-artificial image by determining an interpolated supplementary depth through interpolation based on the original depths and a detected edge

Methods, devices, and systems for automatic white balance are disclosed. In some aspects, a device includes a memory and a processor coupled to a camera and the memory. The processor may be configured to determine a first number of statistics associated with a first frame, cause the camera to perform a first autofocus operation, determine a second number of statistics associated with a second frame during the first autofocus operation, the second number of statistics being less than the first number of statistics, determine a white balance gain based on the first number of statistics and the second number of statistics, and apply the white balance gain to a third frame.

Auto focus based auto white balance

A method and apparatus for determining an auto white balance (AWB) gain based on determined depth information. The method may include receiving an image captured by an image sensor, determining depth information associated with the captured image, assigning weights to a plurality of illuminants based on the determined depth information, determining an auto white balance gain based on the assigned weights and statistics of the captured image, and applying the auto white balance gain to the captured image.

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San Diego, CA, United States of America

Kyuseo Han