System and method for generating multi-exposure frames from single input
AssigneeSamsung Electronics Co., Ltd.
InventorsLong N. Le, Hamid R. Sheikh, Zeeshan Nadir, John W. Glotzbach
Life of this patent
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Abstract
A method includes obtaining, using at least one image sensor of an electronic device, a first image frame of a scene. The method also includes using a convolutional neural network to generate, from the first image frame, multiple second image frames simulated to have different exposures. One or more objects in the scene in each second image frame are aligned with one or more corresponding objects in the scene in at least one other second image frame and are aligned with one or more corresponding objects in the scene in the first image frame. The method further includes blending the multiple second image frames to generate a final image of the scene.
Claims20
A method comprising:
- obtaining, using at least one image sensor of an electronic device, a first image frame of a scene;
- using a convolutional neural network to generate, from the first image frame, multiple second image frames simulated to have different exposures, wherein one or more objects in the scene in each second image frame are aligned with one or more corresponding objects in the scene in at least one other second image frame and are aligned with one or more corresponding objects in the scene in the first image frame;
- and
- blending the multiple second image frames to generate a final image of the scene.
An electronic device comprising:
- at least one image sensor;
- and
- at least one processing device configured to:
- obtain a first image frame of a scene using the at least one image sensor;
- use a convolutional neural network to generate, from the first image frame, multiple second image frames simulated to have different exposures, wherein one or more objects in the scene in each second image frame are aligned with one or more corresponding objects in the scene in at least one other second image frame and are aligned with one or more corresponding objects in the scene in the first image frame;
- and
- blend the multiple second image frames to generate a final image of the scene.
A non-transitory machine-readable medium containing instructions that when executed cause at least one processor of an electronic device to:
- obtain a first image frame of a scene using at least one image sensor of the electronic device;
- use a convolutional neural network to generate, from the first image frame, multiple second image frames simulated to have different exposures, wherein one or more objects in the scene in each second image frame are aligned with one or more corresponding objects in the scene in at least one other second image frame and are aligned with one or more corresponding objects in the scene in the first image frame;
- and
- blend the multiple second image frames to generate a final image of the scene.
Dependencies are inferred from the claim text.