Method and apparatus with image processing
AssigneeSamsung Electronics Co., Ltd.
InventorSeunghoon Jee
Life of this patent
Estimating the term…
Abstract
A processor-implemented method includes estimating a transformation model using a transformation determination neural network model, provided motion sensor detected motion data representing motion of an image sensor with respect to a first image frame and a subsequent second image frame from captured by the image sensor, to perform a transformation based on global motion between the first image frame and the second image frame, and generating output image data by combining, by using the transformation model, the first image frame and the second image frame.
Claims18
A processor-implemented method comprising:
- estimating a transformation model using a transformation determination neural network model, provided motion sensor detected motion data representing motion of an image sensor with respect to a first image frame at a first time and a second image frame at a second time different from the first time captured by the image sensor, to perform a transformation based on global motion between the first image frame and the second image frame;
- and
- generating output image data by combining, by using the transformation model, the first image frame and the second image frame,
- wherein a first sensing period of the motion sensor is less than a second sensing period of the image sensor, and
- wherein motion data generated from output data of the motion sensor that is collected during the second sensing period is input to the transformation determination neural network model.
An electronic device comprising:
- one or more processors configured to:
- estimate a transformation model using a transformation determination neural network model, provided motion sensor detected motion data representing motion of an image sensor with respect to a first image frame at a first time and a second image frame at a second time different from the first time captured by the image sensor, to perform a transformation based on global motion between the first image frame and the second image frame;
- and
- generate output image data by combining, by using the transformation model, the first image frame and the second image frame,
- wherein a first sensing period of the motion sensor is less than a second sensing period of the image sensor, and
- wherein motion data generated from output data of the motion sensor that is collected during the second sensing period is input to the transformation determination neural network model.
Dependencies are inferred from the claim text.