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1.发明申请公开(公告)号：US20230041888A1
公开(公告)日：2023-02-09
申请号：US17813551
申请日：2022-07-19
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Kamal Jnawali , Tien Cheng Bau
Abstract: One embodiment provides a method generating a first image crop and a second image crop randomly extracted from a low-quality image and a high-quality image, respectively. The method further comprises comparing the first image crop and the second image crop using a plurality of loss functions including pixel-wise loss to calculate losses, and optimizing a model trained to estimate a realistic scale-independent blur kernel of a low-resolution (LR) blurred image by minimizing the losses.
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公开(公告)号：US20230095237A1
公开(公告)日：2023-03-30
申请号：US17820203
申请日：2022-08-16
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Joonsoo Kim , Tien Cheng Bau , Hrishikesh Deepak Garud , Kamal Jnawali
Abstract: One embodiment provides a method comprising receiving an input video comprising low-resolution (LR) frames and corresponding super-resolution (SR) frames, and generating a motion-compensated previous SR frame based on a current LR frame of the video and a motion-compensated previous residual frame of the video. The previous SR frame aligns with a current SR frame corresponding to the current LR frame. The method further comprises, in response to determining there is a mismatch between the previous SR frame and the current SR frame, correcting in the current SR frame errors that result from motion compensation based on the motion-compensated previous SR frame. The method further comprises restoring details to the current SR frame that were lost as a result of the correcting, and suppressing flickers of the current SR frame on the frequency domain, resulting in a flicker-suppressed current SR frame for presentation on a display.
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公开(公告)号：US20240119706A1
公开(公告)日：2024-04-11
申请号：US18242965
申请日：2023-09-06
Applicant: Samsung Electronics Co., Ltd.
Inventor： Kamal Jnawali , Tien Cheng Bau , Joonsoo Kim
CPC classification number: G06V10/774 , G06T3/4046 , G06T3/4053 , G06T7/13 , G06T7/73 , G06V10/26 , G06V10/82 , G06V20/46 , G06V20/62 , G06T2207/10016 , G06T2207/20076 , G06T2207/20081 , G06T2207/20084 , G06T2207/20132 , G06V2201/09
Abstract: One embodiment provides a method comprising detecting at least one object displayed within at least one input frame of an input video. The method further comprises cropping, from the at least one input frame, at least one cropped image including the at least one object. The method further comprises generating at least one training image by overlaying simulated text on the at least one cropped image. The method further comprises providing the at least one training image to a pruned convolutional neural network (CNN). The pruned CNN learns, from the at least one training image, to reconstruct objects and textual regions during image super-resolution.
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公开(公告)号：US20230040176A1
公开(公告)日：2023-02-09
申请号：US17870011
申请日：2022-07-21
Applicant: Samsung Electronics Co., Ltd.
Inventor： Tien Cheng Bau
Abstract: A method includes obtaining (such as accessing, receiving, acquiring, etc.), using at least one processor of an electronic device, a machine learning model trained to process input data and generate output data over at least one range of values associated with one or more control variables. The method also includes providing, using the at least one processor, specified input data to the machine learning model and providing, using the at least one processor, one or more specified values of the one or more control variables to the machine learning model. The one or more specified values of the one or more control variables are within the at least one range of values. The method further includes performing inferencing using the machine learning model to process the specified input data and generate specified output data. The inferencing is controlled based on the one or more specified values of the control variable(s).
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