公开(公告)号：US20240221245A1

公开(公告)日：2024-07-04

申请号：US18603334

申请日：2024-03-13

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.

公开(公告)号：US20200211234A1

公开(公告)日：2020-07-02

申请号：US16399018

申请日：2019-04-30

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Hyungjun LIM ,  Taegyoung AHN ,  Youngsu MOON

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

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.

公开(公告)号：US20220148235A1

公开(公告)日：2022-05-12

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

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.

公开(公告)号：US20210166304A1

公开(公告)日：2021-06-03

申请号：US16908021

申请日：2020-06-22

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Donghyun KIM ,  Jisu LEE ,  Youngsu MOON ,  Seungho PARK ,  Taegyoung AHN ,  Younghoon JEONG

IPC: G06Q30/08 ,  G06Q30/02 ,  H04L12/58

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：US20190281310A1

公开(公告)日：2019-09-12

申请号：US16292655

申请日：2019-03-05

Applicant: SAMSUNG ELECTRONICS CO., LTD. ,  SEOUL NATIONAL UNIVERSITY R&DB FOUNDATION

Inventor： Hyunseung LEE ,  Donghyun KIM ,  Youngsu MOON ,  Taegyoung AHN ,  Yoonsik KIM ,  Jaewoo PARK ,  Jae Woong SOH ,  Nam Ik CHO ,  Byeongyong AHN

IPC: H04N19/176 ,  H04N19/137 ,  G06N3/02 ,  G06K9/40

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.

公开(公告)号：US20240078631A1

公开(公告)日：2024-03-07

申请号：US18506755

申请日：2023-11-10

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：US20220076375A1

公开(公告)日：2022-03-10

申请号：US17527732

申请日：2021-11-16

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Cheon LEE ,  Donghyun KIM ,  Yongsup PARK ,  Jaeyeon PARK ,  lljun AHN ,  Hyunseung LEE ,  Taegyoung AHN ,  Youngsu MOON ,  Tammy LEE

IPC: G06T3/40 ,  G06T7/13 ,  G06N3/08

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：US20210166345A1

公开(公告)日：2021-06-03

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 ,  G06T5/00 ,  G06T7/13

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：US20230045334A1

公开(公告)日：2023-02-09

申请号：US17828111

申请日：2022-05-31

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Taegyoung AHN

IPC: G06T5/20 ,  G06T3/40 ,  G06T5/00

Abstract: A method of an electronic device including obtaining a low-resolution input image by down-sampling a high-resolution input image; obtaining a low-resolution output image by performing image quality processing on the low-resolution input image; obtaining a low-resolution model from a conversion relationship between the low-resolution input image prior to the image quality processing being performed and the low-resolution output image subsequent to the image quality processing being performed; performing up-sampling of the low-resolution model; obtaining a high-resolution model by modifying the up-sampled low-resolution model, based on a difference between the high-resolution input image and the low-resolution input image; and obtaining a high-resolution output image from the high-resolution input image, by applying the high-resolution model to the high-resolution input image.

公开(公告)号：US20200372608A1

公开(公告)日：2020-11-26

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

IPC: G06T3/40 ,  G06T7/13 ,  G06N3/08

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.