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公开(公告)号:US20250131537A1
公开(公告)日:2025-04-24
申请号:US18920493
申请日:2024-10-18
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Hyunseung LEE , Donghyun Kim , Kyuha Choi , Youngsu Moon , Younghoon Jeong
Abstract: Provided are an image processing device and an operating method of the same. The image processing device includes a memory storing one or more instructions, and at least one processor processing circuitry, and memory storing one or more instructions that, when executed by the at least one processor individually or collectively, cause the image processing device to obtain a neural network model corresponding to a quality of an input image and viewing information related to the input image. The at least one processor is configured to generate training data, based on the quality of the input image and the viewing information. The at least one processor is configured to train the neural network model by using the training data. The at least one processor is configured to obtain an image quality processed output image from the input image, based on the trained neural network model.
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公开(公告)号:US20250117911A1
公开(公告)日:2025-04-10
申请号:US18906775
申请日:2024-10-04
Applicant: Samsung Electronics Co., Ltd.
Inventor: Donghyun KIM , Hyunseung Lee , Youngsu Moon , Younghoon Jeong , Kyuha Choi
IPC: G06T7/00
Abstract: A server may include: a communication interface; memory storing one or more instructions; and at least one processor operatively connected to the memory and the communication interface, and configured to execute the one or more instructions to: obtain a first image by compressing an original image; obtain quality information of the first image by analyzing image quality of the first image; obtain, based on the quality information, meta model information of a meta model used for performing image quality processing on the first image; and control the communication interface to transmit the meta model information and the first image to an image processing device configured to display a second image based on the meta model information and the first image.
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公开(公告)号:US11455706B2
公开(公告)日:2022-09-27
申请号:US17464119
申请日:2021-09-01
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Kyuha Choi , Bongjoe Kim , Daeeun Kim , Taejun Park
Abstract: An electronic apparatus is disclosed. The electronic apparatus includes: a memory configured to store a downscaling network of a first artificial intelligence model, a communication interface comprising communication circuitry, and a processor connected to the memory and the communication interface and configured to control the electronic apparatus, wherein the processor is configured to: obtain an output image in which an input image is downscaled by inputting the input image the downscaling network, control the communication interface to transmit the output image to another electronic apparatus, and wherein the first artificial intelligence model is configured to be learned based on: a sample image, a first intermediate image obtained by inputting the sample image to the downscaling network, a first final image obtained by inputting the first intermediate image to an upscaling network of the first artificial intelligence model, a second intermediate image in which the sample image is downscaled by a legacy scaler, and a second final image in which the first intermediate image is upscaled by the legacy scaler.
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公开(公告)号:US12079964B2
公开(公告)日:2024-09-03
申请号:US17573010
申请日:2022-01-11
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Bongjoe Kim , Kyuha Choi , Seungho Park , Sangjo Lee
CPC classification number: G06T5/70 , G06T5/50 , G06T7/0002 , G06T2207/20084
Abstract: An image processing apparatus includes: a memory storing one or more instructions; and a processor by executing the one or more instructions stored in the memory is configured to: extract a first image feature from a first image; search for, based on a transmission characteristic of the first image and the first image feature, a first cluster corresponding to the first image from among a plurality of clusters stored in the image processing apparatus, each cluster including a representative image feature and a representative image quality parameter; perform image quality processing on the first image based on a first representative image quality parameter in the first cluster; obtain, based on the first image that has undergone the image quality processing, a first update parameter obtained by updating the first representative image quality parameter; and update the plurality of clusters based on the first update parameter.
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公开(公告)号:US10602001B2
公开(公告)日:2020-03-24
申请号:US15815081
申请日:2017-11-16
Applicant: Samsung Electronics Co., Ltd.
Inventor: Soohyun Moon , Jinho Kim , Hongshik Kim , Seunghoon Nam , Kyuha Choi
Abstract: An electronic apparatus is disclosed, including a touch screen display; a communication unit configured to transceive data via a network; a processor; and a memory configured to store instructions to, which when executed, instruct the processor to identify a total data usage transceived through the communication unit if the data usage transceived through the communication unit reaches a predetermined reference value, determine whether a difference value between the total data usage and a predetermined warning value satisfies a condition to change the reference value, and change the reference value based on the determination result.
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公开(公告)号:US12073595B2
公开(公告)日:2024-08-27
申请号:US17522579
申请日:2021-11-09
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Daesung Cho , Daeeun Kim , Bongjoe Kim , Taejun Park , Sangjo Lee , Kyuha Choi
IPC: G06N3/045 , G06T3/4046 , G06T7/00 , G06T9/00
CPC classification number: G06T9/002 , G06N3/045 , G06T3/4046 , G06T7/0002
Abstract: An artificial intelligence (AI) encoding apparatus includes at least one processor configured to: determine a downscaling target, based on a target resolution for a first image, obtain the first image by AI-downscaling an original image using an AI-downscaling neural network corresponding to the downscaling target, generate image data by encoding the first image, select AI-upscaling neural network set identification information, based on the target resolution of the first image, characteristic information of the original image, and a target detail intensity, generate AI data including the target resolution of the first image, bit depth information of the first image, the AI-upscaling neural network set identification information, and encoding control information, and generate AI encoding data including the image data and the AI data; and a communication interface configured to transmit the AI encoding data to an AI decoding apparatus, wherein the AI data includes information about an AI-upscaling neural network corresponding to the AI-downscaling neural network.
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公开(公告)号:US20180139335A1
公开(公告)日:2018-05-17
申请号:US15815081
申请日:2017-11-16
Applicant: Samsung Electronics Co. Ltd.
Inventor: Soohyun Moon , Jinho Kim , Hongshik Kim , Seunghoon Nam , Kyuha Choi
IPC: H04M15/00
Abstract: An electronic apparatus is disclosed, including a touch screen display; a communication unit configured to transceive data via a network; a processor; and a memory configured to store instructions to, which when executed, instruct the processor to identify a total data usage transceived through the communication unit if the data usage transceived through the communication unit reaches a predetermined reference value, determine whether a difference value between the total data usage and a predetermined warning value satisfies a condition to change the reference value, and change the reference value based on the determination result.
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