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公开(公告)号：US10825139B2
公开(公告)日：2020-11-03
申请号：US16781083
申请日：2020-02-04
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
Abstract: An artificial intelligence (AI) decoding apparatus includes a memory storing one or more instructions, and a processor configured to execute the stored one or more instructions, to obtain image data corresponding to a first image that is encoded, obtain a second image corresponding to the first image by decoding the obtained image data, determine whether to perform AI up-scaling of the obtained second image, based on the AI up-scaling of the obtained second image being determined to be performed, obtain a third image by performing the AI up-scaling of the obtained second image through an up-scaling deep neural network (DNN), and output the obtained third image, and based on the AI up-scaling of the obtained second image being determined to be not performed, output the obtained second image.
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公开(公告)号：US11688038B2
公开(公告)日：2023-06-27
申请号：US17575691
申请日：2022-01-14
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
CPC classification number: G06T3/4046 , G06N3/084 , G06N20/10 , G06T9/002 , H04N19/85 , G06T2207/20081 , G06T2207/20084
Abstract: An artificial intelligence (AI) decoding apparatus includes a memory storing one or more instructions, and a processor configured to execute the stored one or more instructions, to obtain image data corresponding to a first image that is encoded, obtain a second image corresponding to the first image by decoding the obtained image data, determine whether to perform AI up-scaling of the obtained second image, based on the AI up-scaling of the obtained second image being determined to be performed, obtain a third image by performing the AI up-scaling of the obtained second image through an up-scaling deep neural network (DNN), and output the obtained third image, and based on the AI up-scaling of the obtained second image being determined to be not performed, output the obtained second image.
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公开(公告)号：US11288770B2
公开(公告)日：2022-03-29
申请号：US17079773
申请日：2020-10-26
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
Abstract: An artificial intelligence (AI) decoding apparatus includes a memory storing one or more instructions, and a processor configured to execute the stored one or more instructions, to obtain image data corresponding to a first image that is encoded, obtain a second image corresponding to the first image by decoding the obtained image data, determine whether to perform AI up-scaling of the obtained second image, based on the AI up-scaling of the obtained second image being determined to be performed, obtain a third image by performing the AI up-scaling of the obtained second image through an up-scaling deep neural network (DNN), and output the obtained third image, and based on the AI up-scaling of the obtained second image being determined to be not performed, output the obtained second image.
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公开(公告)号：US11170534B2
公开(公告)日：2021-11-09
申请号：US17082848
申请日：2020-10-28
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
Abstract: Provided is an artificial intelligence (AI) decoding apparatus includes: a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory, the processor is configured to: obtain AI data related to AI down-scaling an original image to a first image; obtain image data corresponding to an encoding result on the first image; obtain a second image corresponding to the first image by performing a decoding on the image data; obtain deep neural network (DNN) setting information among a plurality of DNN setting information from the AI data; and obtain, by an up-scaling DNN, a third image by performing the AI up-scaling on the second image, the up-scaling DNN being configured with the obtained DNN setting information, wherein the plurality of DNN setting information comprises a parameter used in the up-scaling DNN, the parameter being obtained through joint training of the up-scaling DNN and a down-scaling DNN, and wherein the down-scaling DNN is used to obtain the first image from the original image.
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公开(公告)号：US20220138904A1
公开(公告)日：2022-05-05
申请号：US17575691
申请日：2022-01-14
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
Abstract: An artificial intelligence (AI) decoding apparatus includes a memory storing one or more instructions, and a processor configured to execute the stored one or more instructions, to obtain image data corresponding to a first image that is encoded, obtain a second image corresponding to the first image by decoding the obtained image data, determine whether to perform AI up-scaling of the obtained second image, based on the AI up-scaling of the obtained second image being determined to be performed, obtain a third image by performing the AI up-scaling of the obtained second image through an up-scaling deep neural network (DNN), and output the obtained third image, and based on the AI up-scaling of the obtained second image being determined to be not performed, output the obtained second image.
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Patent Agency Ranking
公开(公告)号：US10825205B2
公开(公告)日：2020-11-03
申请号：US16793605
申请日：2020-02-18
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
Abstract: Provided is an artificial intelligence (AI) decoding apparatus includes: a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory, the processor is configured to: obtain AI data related to AI down-scaling an original image to a first image; obtain image data corresponding to an encoding result on the first image; obtain a second image corresponding to the first image by performing a decoding on the image data; obtain deep neural network (DNN) setting information among a plurality of DNN setting information from the AI data; and obtain, by an up-scaling DNN, a third image by performing the AI up-scaling on the second image, the up-scaling DNN being configured with the obtained DNN setting information, wherein the plurality of DNN setting information comprises a parameter used in the up-scaling DNN, the parameter being obtained through joint training of the up-scaling DNN and a down-scaling DNN, and wherein the down-scaling DNN is used to obtain the first image from the original image.
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公开(公告)号：US10817989B2
公开(公告)日：2020-10-27
申请号：US16831521
申请日：2020-03-26
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
Abstract: An artificial intelligence (AI) decoding apparatus includes a memory storing one or more instructions, and a processor configured to execute the stored one or more instructions, to obtain image data corresponding to a first image that is encoded, obtain a second image corresponding to the first image by decoding the obtained image data, determine whether to perform AI up-scaling of the obtained second image, based on the AI up-scaling of the obtained second image being determined to be performed, obtain a third image by performing the AI up-scaling of the obtained second image through an up-scaling deep neural network (DNN), and output the obtained third image, and based on the AI up-scaling of the obtained second image being determined to be not performed, output the obtained second image.
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公开(公告)号：US11138763B2
公开(公告)日：2021-10-05
申请号：US17082848
申请日：2020-10-28
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
Abstract: Provided is an artificial intelligence (AI) decoding apparatus includes: a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory, the processor is configured to: obtain AI data related to AI down-scaling an original image to a first image; obtain image data corresponding to an encoding result on the first image; obtain a second image corresponding to the first image by performing a decoding on the image data; obtain deep neural network (DNN) setting information among a plurality of DNN setting information from the AI data; and obtain, by an up-scaling DNN, a third image by performing the AI up-scaling on the second image, the up-scaling DNN being configured with the obtained DNN setting information, wherein the plurality of DNN setting information comprises a parameter used in the up-scaling DNN, the parameter being obtained through joint training of the up-scaling DNN and a down-scaling DNN, and wherein the down-scaling DNN is used to obtain the first image from the original image.
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公开(公告)号：US10937197B2
公开(公告)日：2021-03-02
申请号：US16821686
申请日：2020-03-17
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
Abstract: Provided is an artificial intelligence (AI) decoding apparatus includes: a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory, the processor is configured to: obtain AI data related to AI down-scaling an original image to a first image; obtain image data corresponding to an encoding result on the first image; obtain a second image corresponding to the first image by performing a decoding on the image data; obtain deep neural network (DNN) setting information among a plurality of DNN setting information from the AI data; and obtain, by an up-scaling DNN, a third image by performing the AI up-scaling on the second image, the up-scaling DNN being configured with the obtained DNN setting information, wherein the plurality of DNN setting information comprises a parameter used in the up-scaling DNN, the parameter being obtained through joint training of the up-scaling DNN and a down-scaling DNN, and wherein the down-scaling DNN is used to obtain the first image from the original image.
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公开(公告)号：US10825206B2
公开(公告)日：2020-11-03
申请号：US16821609
申请日：2020-03-17
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
Abstract: Provided is an artificial intelligence (AI) decoding apparatus includes: a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory, the processor is configured to: obtain AI data related to AI down-scaling an original image to a first image; obtain image data corresponding to an encoding result on the first image; obtain a second image corresponding to the first image by performing a decoding on the image data; obtain deep neural network (DNN) setting information among a plurality of DNN setting information from the AI data; and obtain, by an up-scaling DNN, a third image by performing the AI up-scaling on the second image, the up-scaling DNN being configured with the obtained DNN setting information, wherein the plurality of DNN setting information comprises a parameter used in the up-scaling DNN, the parameter being obtained through joint training of the up-scaling DNN and a down-scaling DNN, and wherein the down-scaling DNN is used to obtain the first image from the original image.
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