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

IPC: G06T3/40 ,  G06T7/13 ,  G06V10/82

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.

公开(公告)号：US11544816B2

公开(公告)日：2023-01-03

申请号：US16836263

申请日：2020-03-31

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Donghyun Kim ,  Jisu Lee ,  Youngsu Moon ,  Seungho Park ,  Taegyoung Ahn ,  Younghoon Jeong

IPC: G06T3/40 ,  G06T7/13 ,  G06T5/00 ,  G06Q30/02 ,  G06Q30/08 ,  H04L51/046 ,  H04L51/52

Abstract: Disclosed is an electronic apparatus. The electronic apparatus includes a processor configured to obtain first upscaling information of an input image using an artificial intelligence (AI) model that is trained to obtain upscaling information of an image. The processor is also configured to downscale the input image based on the obtained first upscaling information, and obtain an output image by upscaling the downscaled image based on an output resolution.

公开(公告)号：US20220122227A1

公开(公告)日：2022-04-21

申请号：US17565938

申请日：2021-12-30

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Seungho Park ,  Youngsu Moon

IPC: G06T5/00 ,  G06T5/50

Abstract: An electronic apparatus is disclosed. The electronic apparatus includes a memory storing at least one instruction, and a processor, electrically connected to the memory, configured to, by executing the instruction, obtain, from an input image, a noise map corresponding to the input image; provide the input image to an input layer of a learning network model including a plurality of layers, the learning network model being an artificial intelligence (AI) model that is obtained by learning, through an AI algorithm, a relationship between a plurality of sample images, a respective noise map of each of the plurality of sample images, and an original image corresponding to the plurality of sample images; provide the noise map to at least one intermediate layer among the plurality of layers; and obtain an output image based on a result from providing the input image and the noise map to the learning network model.

公开(公告)号：US11881139B2

公开(公告)日：2024-01-23

申请号：US17891252

申请日：2022-08-19

Applicant: Samsung Electronics Co., Ltd. ,  INDUSTRY-ACADEMIC COOPERATION FOUNDATION, YONSEI UNIVERSITY

Inventor： Younghun Jo ,  Yoonsik Choe ,  Shinhaeng Kim ,  Youngsu Moon ,  Byungseok Min ,  Gihwan Lee ,  Sangsu Lee

IPC: G09G3/20 ,  G09G3/00

CPC classification number: G09G3/20 ,  G09G3/007 ,  G09G2320/045 ,  G09G2320/046 ,  G09G2320/048 ,  G09G2330/10

Abstract: According to an embodiment of the disclosure, an electronic apparatus may include: a display configured to display an image; and a processor configured to: adjust, for each of sub areas having a specified size in an image quality degradation anticipation area of an image, a pixel value of at least one adjustment pixel among a plurality of pixels included in each sub area, and change the adjustment pixel into another pixel among the plurality of pixels, while maintaining a representative value of the plurality of pixels included in each sub area.

公开(公告)号：US11315222B2

公开(公告)日：2022-04-26

申请号：US16862958

申请日：2020-04-30

Applicant: SAMSUNG ELECTRONICS CO., LTD. ,  KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Hyunseung Lee ,  MunChurl Kim ,  Yongwoo Kim ,  Jae Seok Choi ,  Youngsu Moon ,  Cheon Lee

IPC: G06T5/00 ,  G06T7/13 ,  G06T5/50

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.

公开(公告)号：US11003951B2

公开(公告)日：2021-05-11

申请号：US16421021

申请日：2019-05-23

Applicant: SAMSUNG ELECTRONICS CO., LTD. ,  SOGANG UNIVERSITY RESEARCH & BUSINESS DEVELOPMENT FOUNDATION

Inventor： Hyungjun Lim ,  Suk-Ju Kang ,  Seung Joon Lee ,  Youngsu Moon ,  Siyeong Lee ,  Sung In Cho

IPC: G06K9/62 ,  G06N3/08 ,  G06K9/46

Abstract: An image processing apparatus is provided. The image processing apparatus includes a memory configured to store at least one instruction; and a processor configured to read the at least one instruction and configured to, according to the at least one instruction: apply a learning network model to an input image frame and acquire information on an area of interest; and acquire an output image frame by retargeting the input image frame based on the acquired information on the area of interest. The learning network model is a model that is trained to acquire the information on the area of interest in the input image frame.

公开(公告)号：US10909700B2

公开(公告)日：2021-02-02

申请号：US16580204

申请日：2019-09-24

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Hyungjun Lim ,  Youngsu Moon ,  Taegyoung Ahn

IPC: G06K9/00 ,  G06T7/40 ,  G06T3/40

Abstract: An image processing apparatus and method are provided. The image processing apparatus includes: a memory configured to store at least one instruction, and a processor electrically connected to the memory, wherein the processor, by executing the at least one instruction, is configured to: apply an input image to a training network model; and apply, to a pixel block included in the input image, a texture patch corresponding to the pixel block to obtain an output image, wherein the training network model stores a plurality of texture patches corresponding to a plurality of classes classified based on a characteristic of an image, and is configured to train at least one texture patch, among the plurality of texture patches, based on the input image.

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.

公开(公告)号：US20250095531A1

公开(公告)日：2025-03-20

申请号：US18962798

申请日：2024-11-27

Applicant: SAMSUNG ELECTRONICS CO., LTD. ,  ULSAN NATIONAL INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Guiwon SEO ,  Minjeong Ko ,  Youngshin Kwak ,  Jonghwan Kim ,  Youngsu Moon

IPC: G09G3/20 ,  G06T7/90

Abstract: An electronic device is disclosed. The electronic device includes a display; memory, the memory storing a first spectrum information of the display and information on a plurality of color matching functions (CMFs); and at least one processor connected with the memory, wherein the at least one processor is configured to: obtain picture spectrum information of a test image based on a second spectrum information of an external display device displaying the test image, obtain test images based on the picture spectrum information, the first spectrum information, and the information on the plurality of CMFs, wherein the test images comprise a respective test image for each of the plurality of CMFs corresponding to the test image, and control the display to display the test images.

公开(公告)号：US11954765B2

公开(公告)日：2024-04-09

申请号：US17580753

申请日：2022-01-21

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Hyungjun Lim ,  Taegyoung Ahn ,  Youngsu Moon

IPC: G06T11/00 ,  G06T5/20 ,  H04N7/015

CPC classification number: G06T11/001 ,  G06T5/20 ,  H04N7/0155

Abstract: Disclosed is an image processing apparatus and a method of operating the same. The image processing apparatus includes: a memory storing information on at least one random patch; and at least one processor configured to: obtain correlations between a pixel block included in an input image and each of a plurality of random patches obtained from the information on the at least one random patch, obtain weights respectively for the plurality of random patches on a basis of the obtained correlations and apply the weights respectively to the plurality of random patches, and obtain an output image by applying, to the pixel block, the plurality of random patches to which the weights are respectively applied.