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：US20220164923A1

公开(公告)日：2022-05-26

申请号：US17221105

申请日：2021-04-02

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Hyunseung LEE ,  Donghyun KIM ,  Youngsu MOON ,  Seungho PARK ,  Younghoon JEONG

IPC: G06T3/40 ,  G06N3/08 ,  G06N3/04 ,  G06K9/62

Abstract: An electronic apparatus is disclosed. The electronic apparatus includes a memory configured to store a plurality of neural network models, and a processor connected to the memory and control the electronic apparatus in which the processor is configured to obtain a weight map based on an object area included in an input image, and obtain a plurality of images by inputting the input image to each of the plurality of neural network models, and obtain an output image by weighting the plurality of images based on the weight map, and each of the plurality of neural network models is a model trained to upscale an image.

公开(公告)号：US20250119522A1

公开(公告)日：2025-04-10

申请号：US18982898

申请日：2024-12-16

Applicant: Samsung Electronics Co., Ltd. ,  Korea University Research and Business Foundation

Inventor： Seungho PARK ,  Changsu KIM ,  Keunsoo KO ,  Daesung CHO ,  Youngsu MOON ,  Jinyoung JUN ,  Seunggyun WOO ,  Younghoon JEONG

IPC: H04N13/271 ,  G06T7/194 ,  H04N13/268

Abstract: An electronic apparatus is disclosed. The electronic apparatus includes: a memory storing at least one instruction and at least one processor, comprising processing circuitry, individually and/or collectively, configured to: identify a foreground region and a background region included in an input image based on a depth map corresponding to the input image, and generate a novel view image by converting a viewpoint based on the foreground region; identify side effect prediction information including at least one from among whether an object of less than or equal to a specified thickness is included in the input image or an object density degree based on the depth map, and generate the novel view image by controlling a viewpoint movement path based on the identified side effect prediction information.

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：US20230206811A1

公开(公告)日：2023-06-29

申请号：US18117235

申请日：2023-03-03

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jonghwan KIM ,  Guiwon SEO ,  Younghoon JEONG ,  Seungho PARK ,  Youngsu MOON

IPC: G09G3/20

CPC classification number: G09G3/2003 ,  G09G2320/0626 ,  G09G2360/144 ,  G09G2354/00 ,  G09G2370/00 ,  G09G2320/0666

Abstract: An electronic apparatus includes a memory storing instructions and a processor configured to execute the instructions to identify a display environment of an image, correct characteristics of a test image provided to identify a user's visual perception for characteristics of the image to correspond to the identified display environment, display the test image having the corrected characteristics on a display, and correct the characteristics of the image based on the user's adjustment input for the characteristics of the displayed test image.

公开(公告)号：US20220005153A1

公开(公告)日：2022-01-06

申请号：US17279182

申请日：2019-02-14

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Hyungjun LIM ,  Suk Ju KANG ,  Sung In CHO ,  Youngsu MOON ,  Seung Joon LEE

IPC: G06T3/40 ,  H04N19/176 ,  H04N19/59

Abstract: Disclosed is an image processing device. The image processing device includes an input unit, and a processor which retargets an image frame input through the input unit and acquires an output image frame, wherein the processor identifies an area, in which pixel values are to be padded, on the basis of the input image frame and information about the output image frame, identifies a first pixel block on the basis of a target pixel area included in the identified area, identifies a second pixel block on the basis of pixel values included in the first pixel block, and pads the target pixel area on the basis of pixel values included in the second pixel block, so as to able to acquire the output image frame.

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.

公开(公告)号：US20200349677A1

公开(公告)日：2020-11-05

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 ,  G06T5/50 ,  G06T7/13

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.