公开(公告)号：US12223617B2

公开(公告)日：2025-02-11

申请号：US17893754

申请日：2022-08-23

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jongseok Lee ,  Pilkyu Park ,  Kwangpyo Choi ,  Jaehwan Kim ,  Youngo Park ,  Chaeeun Lee

IPC: G06T3/4046 ,  G06T7/00 ,  G06V10/56 ,  G06V10/77

Abstract: An electronic apparatus includes: a display; and a processor configured to: obtain a first image, identify an application used to obtain the first image, select neural network setting information corresponding to the identified application from among a plurality of pieces of neural network setting information, obtain a second image by artificial intelligence (AI)-upscaling the first image by using an upscaling neural network to which the selected neural network setting information is applied, and output the obtained second image via the display.

公开(公告)号：US11704770B2

公开(公告)日：2023-07-18

申请号：US17385995

申请日：2021-07-27

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Youngo Park ,  Yumi Sohn ,  Myungjin Eom ,  Kwangpyo Choi

IPC: G06T3/40 ,  H04L65/80 ,  H04N19/85 ,  H04L65/70 ,  H04L65/75

CPC classification number: G06T3/4046 ,  H04L65/70 ,  H04L65/762 ,  H04L65/80 ,  H04N19/85

Abstract: A terminal for receiving streaming data may receive information of a plurality of different quality versions of an image content; request, based on the information, a server for a version of the image content from among the plurality of different quality versions of the image content; when the requested version of the image content and artificial intelligence (AI) data corresponding to the requested version of the image content are received, determines whether to perform AI upscaling on the received version of the image content, based on the AI data; and based on a result of the determining whether to perform AI upscaling, performs AI upscaling on the received version of the image content through a upscaling deep neural network (DNN) that is trained jointly with a downscaling DNN of the server.

公开(公告)号：US11616988B2

公开(公告)日：2023-03-28

申请号：US17286743

申请日：2019-09-26

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Quockhanh Dinh ,  Youngo Park ,  Kwangpyo Choi

IPC: H04N19/85 ,  H04N19/132 ,  H04N19/184 ,  G06N3/02

Abstract: Proposed are a method and apparatus for evaluating the quality of an image, the method including obtaining blocks each having a predetermined size by splitting a target image for evaluating a quality and a reference image that is to be compared with the target image, determining sensitivity information and quality assessment information of each of the blocks by inputting the blocks to a video quality assessment network, and determining a final image quality assessment score of the target image by combining the pieces of quality assessment information of the blocks with each other, based on the pieces of sensitivity information of the blocks.

公开(公告)号：US11610341B2

公开(公告)日：2023-03-21

申请号：US17082442

申请日：2020-10-28

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jongseok Lee ,  Jaehwan Kim ,  Youngo Park

IPC: G06T9/00 ,  G06N3/082 ,  G06T3/40

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.

公开(公告)号：US11170473B2

公开(公告)日：2021-11-09

申请号：US17080543

申请日：2020-10-26

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Youngo Park ,  Yumi Sohn ,  Myungjin Eom ,  Kwangpyo Choi

IPC: G06T3/40 ,  H04L29/06 ,  H04N19/85

Abstract: A terminal for receiving streaming data may receive information of a plurality of different quality versions of an image content; request, based on the information, a server for a version of the image content from among the plurality of different quality versions of the image content; when the requested version of the image content and artificial intelligence (AI) data corresponding to the requested version of the image content are received, determines whether to perform AI upscaling on the received version of the image content, based on the AI data; and based on a result of the determining whether to perform AI upscaling, performs AI upscaling on the received version of the image content through a upscaling deep neural network (DNN) that is trained jointly with a downscaling DNN of the server.

公开(公告)号：US11159809B2

公开(公告)日：2021-10-26

申请号：US17080827

申请日：2020-10-26

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Pilkyu Park ,  Youngo Park ,  Jongseok Lee ,  Yumi Sohn ,  Myungjin Eom

IPC: H04N19/132 ,  H04N19/146 ,  H04N19/172 ,  H04N19/182 ,  H04N19/30 ,  H04N19/42 ,  H04N19/59 ,  H04N19/70 ,  H04N19/85

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.

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

IPC: G06T3/40 ,  G06T9/00 ,  G06N3/08 ,  H04N19/85 ,  G06N20/10

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.

公开(公告)号：US12229915B2

公开(公告)日：2025-02-18

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: G09G5/00 ,  G06T3/4046

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.

公开(公告)号：US20250054111A1

公开(公告)日：2025-02-13

申请号：US18929191

申请日：2024-10-28

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Yongsup Park ,  Sangwook Baek ,  Sangmi Lee ,  Youjin Lee ,  Taeyoung Jang ,  Gyehyun Kim ,  Beomseok Kim ,  Youngo Park ,  Kwangpyo Choi

IPC: G06T5/60 ,  G06T3/4046

Abstract: Provided is an image processing method including upscaling an input image to generate an upscaled image, obtaining a first feature map and a second feature map by inputting the upscaled image to a convolutional neural network and performing a convolution operation on the upscaled image with one or more kernels included in the convolutional neural network, obtaining a gain map by inputting the first feature map to a first convolutional layer, obtaining an offset map by inputting the second feature map to a second convolutional layer, and generating an output image, based on the upscaled image, the gain map, and the offset map, wherein the convolutional neural network is configured to be trained to reduce a difference between a hue of the input image and a hue of the output image.

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

IPC: G06T3/40 ,  G06T9/00 ,  G06N3/084 ,  H04N19/85 ,  G06N20/10

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.