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公开(公告)号:US11503221B2
公开(公告)日:2022-11-15
申请号:US16837785
申请日:2020-04-01
Applicant: Samsung Electronics Co., Ltd.
Inventor: Anqi Yang , John W. Glotzbach , Hamid R. Sheikh
Abstract: A method includes obtaining, using at least one image sensor of an electronic device, a first image frame and multiple second image frames of a scene. Each of the second image frames has an exposure time different from an exposure time of the first image frame. The method also includes encoding, using at least one processor, each of the first image frame and the second image frames using a convolutional neural network to generate a corresponding feature map. The method further includes aligning, using the at least one processor, encoded features of the feature map corresponding to the first image frame with encoded features of the feature maps corresponding to the second image frames.
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公开(公告)号:US12206993B2
公开(公告)日:2025-01-21
申请号:US17938013
申请日:2022-10-04
Applicant: Samsung Electronics Co., Ltd.
Inventor: Anqi Yang , John W. Glotzbach , Hamid R. Sheikh
IPC: H04N23/73 , G06T5/50 , G06T5/73 , H04N19/42 , H04N23/743
Abstract: A method includes obtaining, using at least one image sensor of an electronic device, a first image frame and multiple second image frames of a scene. Each of the second image frames has an exposure time different from an exposure time of the first image frame. The method also includes generating, using at least one processor, blur kernels indicating a motion direction of the first image frame using an optical flow network. The method further includes refining, using the at least one processor, the blur kernels using a convolutional neural network. In addition, the method includes generating, using the at least one processor, a target image frame of the scene using the refined blur kernels and occlusion masks for the second image frames.
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公开(公告)号:US20230022753A1
公开(公告)日:2023-01-26
申请号:US17938013
申请日:2022-10-04
Applicant: Samsung Electronics Co., Ltd.
Inventor: Anqi Yang , John W. Glotzbach , Hamid R. Sheikh
Abstract: A method includes obtaining, using at least one image sensor of an electronic device, a first image frame and multiple second image frames of a scene. Each of the second image frames has an exposure time different from an exposure time of the first image frame. The method also includes generating, using at least one processor, blur kernels indicating a motion direction of the first image frame using an optical flow network. The method further includes refining, using the at least one processor, the blur kernels using a convolutional neural network. In addition, the method includes generating, using the at least one processor, a target image frame of the scene using the refined blur kernels and occlusion masks for the second image frames.
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公开(公告)号:US20210314474A1
公开(公告)日:2021-10-07
申请号:US16837785
申请日:2020-04-01
Applicant: Samsung Electronics Co., Ltd.
Inventor: Anqi Yang , John W. Glotzbach , Hamid R. Sheikh
Abstract: A method includes obtaining, using at least one image sensor of an electronic device, a first image frame and multiple second image frames of a scene. Each of the second image frames has an exposure time different from an exposure time of the first image frame. The method also includes encoding, using at least one processor, each of the first image frame and the second image frames using a convolutional neural network to generate a corresponding feature map. The method further includes aligning, using the at least one processor, encoded features of the feature map corresponding to the first image frame with encoded features of the feature maps corresponding to the second image frames.
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