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1.发明申请公开(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：US11295412B2
公开(公告)日：2022-04-05
申请号：US16838650
申请日：2020-04-02
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Cheon Lee , Donghyun Kim , Yongsup Park , Jaeyeon Park , Iljun Ahn , Hyunseung Lee , Taegyoung Ahn , Youngsu Moon , Tammy Lee
Abstract: An image processing apparatus applies an image to a first learning network model to optimize the edges of the image, applies the image to a second learning network model to optimize the texture of the image, and applies a first weight to the first image and a second weight to the second image based on information on the edge areas and the texture areas of the image to acquire an output image.
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公开(公告)号：US11315222B2
公开(公告)日：2022-04-26
申请号：US16862958
申请日：2020-04-30
Inventor： Hyunseung Lee , MunChurl Kim , Yongwoo Kim , Jae Seok Choi , Youngsu Moon , Cheon Lee
Abstract: An image processing apparatus obtains a first output image by applying an image to a first training network model, obtains a second output image by applying the image to a second training network model, and obtains a reconstructed image based on the first output image and the second output image. The first training network model is a model that uses a fixed parameter obtained through training of a plurality of sample images, the second training network model is trained to minimize a difference between a target image corresponding to the image and the reconstructed image.
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公开(公告)号：US10708777B2
公开(公告)日：2020-07-07
申请号：US15783451
申请日：2017-10-13
Applicant: Samsung Electronics Co., Ltd.
Inventor： Hakjoo Kim , Yong-Jun Park , Gwiho Lee , Ho-Dong Jwa , Ji Young Kim , Sangho Park , Hyunseung Lee , Wooyoung Choi
IPC: G06F21/00 , H04W12/06 , H04W12/10 , H04L29/06 , G06F21/33 , G06F21/30 , G06F21/34 , G06F21/45 , H04W12/04 , H04W12/08
Abstract: Disclosed are a method and an apparatus for connecting electronic devices based on biometric information without a certification server. An electronic device includes a wireless communication unit configured to perform wireless communication with an external device; a biometric recognition module; a memory; and a processor connected to the wireless communication unit, the biometric recognition module, and the memory. The processor is configured to register, in the external device, authentication information for authenticating the external device through the electronic device, establish a communication connection with the external device through the wireless communication unit, receive a request for authenticating the electronic device from the external device in response to the communication connection, acquire biometric information corresponding to a user of the electronic device using the biometric recognition module in response to the authentication request, perform device authentication for the user based on at least the biometric information, encrypt authentication information when the authentication is successfully performed, and transmit the encrypted authentication information to the external device.
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Patent Agency Ranking
公开(公告)号：US12211172B2
公开(公告)日：2025-01-28
申请号：US17887236
申请日：2022-08-12
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Hyunseung Lee , Donghyun Kim , Younghoon Jeong
IPC: G06T3/4046 , G06T3/4007 , G06V10/25
Abstract: A display device for performing image processing by using a neural network including a plurality of layers, may obtain a plurality of pieces of model information respectively corresponding to pixels included in a first image based on object features respectively corresponding to the pixels; identify the plurality of pieces of model information respectively corresponding to the plurality of layers and the pixels input to the neural network based on information about a time point at which each of the pixels is processed in the neural network; update parameters of the plurality of layers, based on the plurality of pieces of model information; and obtain a second image by processing the first image via the plurality of layers to which the updated parameters are applied; and display the second image.
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公开(公告)号：US11836890B2
公开(公告)日：2023-12-05
申请号：US17527732
申请日：2021-11-16
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Cheon Lee , Donghyun Kim , Yongsup Park , Jaeyeon Park , Iljun Ahn , Hyunseung Lee , Taegyoung Ahn , Youngsu Moon , Tammy Lee
CPC classification number: G06T3/403 , G06T3/4053 , G06T7/13 , G06V10/82 , G06T2207/20081
Abstract: An image processing apparatus applies an image to a first learning network model to optimize the edges of the image, applies the image to a second learning network model to optimize the texture of the image, and applies a first weight to the first image and a second weight to the second image based on information on the edge areas and the texture areas of the image to acquire an output image.
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公开(公告)号：US20180109947A1
公开(公告)日：2018-04-19
申请号：US15783451
申请日：2017-10-13
Applicant: Samsung Electronics Co., Ltd.
Inventor： Hakjoo Kim , Yong-Jun Park , Gwiho Lee , Ho-Dong Jwa , Ji Young Kim , Sangho Park , Hyunseung Lee , Wooyoung Choi
Abstract: Disclosed are a method and an apparatus for connecting electronic devices based on biometric information without a certification server. An electronic device includes a wireless communication unit configured to perform wireless communication with an external device; a biometric recognition module; a memory; and a processor connected to the wireless communication unit, the biometric recognition module, and the memory. The processor is configured to register, in the external device, authentication information for authenticating the external device through the electronic device, establish a communication connection with the external device through the wireless communication unit, receive a request for authenticating the electronic device from the external device in response to the communication connection, acquire biometric information corresponding to a user of the electronic device using the biometric recognition module in response to the authentication request, perform device authentication for the user based on at least the biometric information, encrypt authentication information when the authentication is successfully performed, and transmit the encrypted authentication information to the external device.
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公开(公告)号：US12100118B2
公开(公告)日：2024-09-24
申请号：US17221105
申请日：2021-04-02
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Hyunseung Lee , Donghyun Kim , Youngsu Moon , Seungho Park , Younghoon Jeong
IPC: G06T3/4046 , G06F18/21 , G06N3/045 , G06N3/08
CPC classification number: G06T3/4046 , G06F18/2163 , G06N3/045 , G06N3/08
Abstract: An electronic apparatus is disclosed. The electronic apparatus includes a memory configured to store a plurality of neural network models, and a processor connected to the memory and control the electronic apparatus in which the processor is configured to obtain a weight map based on an object area included in an input image, and obtain a plurality of images by inputting the input image to each of the plurality of neural network models, and obtain an output image by weighting the plurality of images based on the weight map, and each of the plurality of neural network models is a model trained to upscale an image.
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公开(公告)号：US11153575B2
公开(公告)日：2021-10-19
申请号：US16292655
申请日：2019-03-05
Inventor： Hyunseung Lee , Donghyun Kim , Youngsu Moon , Taegyoung Ahn , Yoonsik Kim , Jaewoo Park , Jae Woong Soh , Nam Ik Cho , Byeongyong Ahn
IPC: H04N19/176 , G06K9/40 , G06N3/02 , H04N19/137
Abstract: An electronic apparatus is provided. The electronic apparatus includes a storage configured to store a compression rate network model configured to determine a compression rate applied to an image block from among a plurality of compression rates, and a plurality of compression noise removing network models configured to remove compression noise for each of the plurality of compression rates, and a processor configured to: obtain a compression rate of each of a plurality of image blocks included in a frame of a decoded moving picture based on the compression rate network model, obtain the compression rate of the frame based on the plurality of obtained compression rates, and remove compression noise of the frame based on a compression noise removing network model corresponding to the compression rate of the frame from among the plurality of compression noise removing network models. The compression rate network model can be obtained by learning image characteristics of a plurality of restored image blocks corresponding to each of the plurality of compression rates through a first artificial intelligence algorithm, and the plurality of restored image blocks can be generated by encoding a plurality of original image blocks, and decoding the encoded plurality of original image blocks, and the plurality of compression noise removing network models can be obtained by learning a relation between the plurality of original image blocks and the plurality of restored image blocks through a second artificial intelligence algorithm.
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