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公开(公告)号：US20210042882A1
公开(公告)日：2021-02-11
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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2.发明申请公开(公告)号：US20200219292A1
公开(公告)日：2020-07-09
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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公开(公告)号：US20220030260A1
公开(公告)日：2022-01-27
申请号：US17498859
申请日：2021-10-12
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Pilkyu PARK , Youngo PARK , Jongseok LEE , Yumi SOHN , Myungjin EOM
IPC: H04N19/30 , H04N19/42 , H04N19/172 , H04N19/146 , H04N19/70
Abstract: Provided is a computer-recordable recording medium having stored thereon a video file including artificial intelligence (AI) encoding data, wherein the AI encoding data includes: image data including encoding information of a low resolution image generated by AI down-scaling a high resolution image; and AI data about AI up-scaling of the low resolution image reconstructed according to the image data, wherein the AI data includes: AI target data indicating whether AI up-scaling is to be applied to at least one frame; and AI supplementary data about up-scaling deep neural network (DNN) information used for AI up-scaling of the at least one frame from among a plurality of pieces of pre-set default DNN configuration information, when AI up-scaling is applied to the at least one frame.
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4.发明申请公开(公告)号：US20210174552A1
公开(公告)日：2021-06-10
申请号：US17180358
申请日：2021-02-19
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jongseok LEE , Jaehwan KIM , Youngo PARK
Abstract: An artificial intelligence (AI) decoding method including obtaining image data generated from performing first encoding on a first image and AI data related to AI down-scaling of at least one original image related to the first image; obtaining a second image corresponding to the first image by performing first decoding on the image data; obtaining, based on the AI data, deep neural network (DNN) setting information for performing AI up-scaling of the second image; and generating a third image by performing the AI up-scaling on the second image via an up-scaling DNN operating according to the obtained DNN setting information. The DNN setting information is DNN information updated for performing the AI up-scaling of at least one second image via joint training of the up-scaling DNN and a down-scaling DNN used for the AI down-scaling.
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公开(公告)号：US20210127135A1
公开(公告)日：2021-04-29
申请号：US17081364
申请日：2020-10-27
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jongseok LEE , Youngo PARK , Pilkyu PARK , Yumi SOHN
IPC: H04N19/59 , H04N19/61 , G06N3/04 , G06T3/40 , H04N19/172
Abstract: Methods and apparatuses for image encoding and image decoding are provided. The image decoding method includes: obtaining deep neural network (DNN) update permission information indicating whether one or more pieces of DNN setting information are updated; based on the DNN update permission information indicating that the one or more pieces of the DNN setting information are updated, obtaining DNN update information necessary for determining one or more pieces of the DNN setting information that are updated; determining the one or more pieces of the updated DNN setting information according to the DNN update information; and obtaining a third image by performing artificial intelligence (AI) up-scaling on a second image according to the one or more pieces of the updated DNN setting information.
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Patent Agency Ranking
6.发明申请公开(公告)号：US20200226717A1
公开(公告)日：2020-07-16
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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7.发明申请公开(公告)号：US20200219293A1
公开(公告)日：2020-07-09
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：US20230052330A1
公开(公告)日：2023-02-16
申请号：US17895416
申请日：2022-08-25
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaehwan KIM , Youngo PARK , Jongseok LEE , Chaeeun LEE , Kwangpyo CHOI
IPC: G06T3/40
Abstract: Provided is an electronic apparatus configured to provide an image based on artificial intelligence (AI), the electronic apparatus including a processor configured to execute one or more instructions stored in the electronic apparatus to obtain a first image by AI-downscaling an original image by a downscaling neural network, obtain first image data by encoding the first image, based on a display apparatus not supporting an AI upscaling function, obtain a second image by decoding the first image data, obtain a third image by AI-upscaling the second image by an upscaling neural network, and provide, to the display apparatus, second image data obtained by encoding the third image.
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9.发明申请公开(公告)号：US20200234469A1
公开(公告)日：2020-07-23
申请号：US16844124
申请日：2020-04-09
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Sunyoung JEON , Jaehwan KIM , Youngo PARK , Jongseok LEE , Minseok CHOI , Kwangpyo CHOI
Abstract: Provided is an artificial intelligence (AI) encoding apparatus including a memory storing one or more instructions, and a processor configured to execute the one or more instructions stored in the memory to obtain a first image by performing AI down-scaling on an original image through a deep neural network (DNN) for down-scaling, obtain artifact information indicating an artifact region in the first image, perform post-processing to change a pixel value of a pixel in the first image, based on the artifact information, and obtain image data corresponding to a result of encoding of the post-processed first image, and AI data including the artifact information.
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10.发明申请公开(公告)号：US20200184685A1
公开(公告)日：2020-06-11
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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