公开(公告)号：US20200320723A1

公开(公告)日：2020-10-08

申请号：US16580204

申请日：2019-09-24

Applicant: Samsung Electronics Co., Ltd.

Inventor： Hyungjun LIM ,  Youngsu MOON ,  Taegyoung AHN

IPC: 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：US20250045881A1

公开(公告)日：2025-02-06

申请号：US18923346

申请日：2024-10-22

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

Inventor： Hyunseung LEE ,  Seokhee LEE ,  Kyuha CHOI ,  Youngsu MOON ,  Karam PARK ,  Younghoon JEONG ,  Namik CHO ,  Sunwoo CHO

IPC: G06T5/60 ,  G06T3/4046 ,  G06T3/4053 ,  G06T5/20

Abstract: An image processing apparatus, including: at least one processor; and a memory configured to store one or more instructions which, when executed by the at least one processor, cause the image processing apparatus to: obtain a neural network model for performing image quality processing on an input image; calculate a plurality of gradients by partially differentiating weights of the neural network model with respect to a loss of the neural network model, by applying training data corresponding to the input image to the neural network model; remove at least one gradient from among the plurality of gradients by applying a gradient mask including gradient pruning information to the plurality of gradients; train the neural network model by updating the weights of the neural network model based on one or more remaining gradients from among the plurality of gradients; and obtain a quality-processed output image based on the input image, using the trained neural network model

公开(公告)号：US20240394858A1

公开(公告)日：2024-11-28

申请号：US18601165

申请日：2024-03-11

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jaesung PARK ,  Jongho KIM ,  Younghoon JEONG ,  Youngsu MOON

IPC: G06T5/92 ,  G06T5/60 ,  G06T5/73

Abstract: The disclosure discloses an image processing method. The image processing method according to the disclosure may comprise: identifying preferred intensity information indicating a first preferred intensity among a plurality of preferred intensities associated with image processing based on a low vision mode, based on an input, obtaining edge thickness setting information corresponding to the first preferred intensity from the memory and perform edge thickness adjustment processing on an input image based on the obtained edge thickness setting information, obtaining image quality adjustment setting information corresponding to the first preferred intensity from the memory and performing image quality adjustment processing on the image on which the edge thickness adjustment processing is performed based on the obtained image quality adjustment setting information.

公开(公告)号：US20240114107A1

公开(公告)日：2024-04-04

申请号：US18372383

申请日：2023-09-25

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jaesung PARK ,  Youngsu MOON ,  Junghwa CHOI

IPC: H04N5/262 ,  G06T3/40

CPC classification number: H04N5/2624 ,  G06T3/4038 ,  G06T3/4046 ,  G06T2200/24

Abstract: An electronic apparatus includes: a memory storing at least one instruction; and at least one processor configured to execute the at least one instruction to: obtain a plurality of second front view images from a first front view image that is obtained by a front camera, obtain a front view ultra-wide angle image by synthesizing the plurality of second front view images, obtain a rear view ultra-wide angle image by synthesizing a plurality of rear view images, and generate a 360-degree image by synthesizing the front view ultra-wide angle image and the rear view ultra-wide angle image.

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：US20240040077A1

公开(公告)日：2024-02-01

申请号：US18242329

申请日：2023-09-05

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jaesung PARK ,  Younghoon JEONG ,  Youngsu MOON

IPC: H04N5/74 ,  G06T5/00 ,  G06T7/20 ,  G06T7/50 ,  G06V10/60

CPC classification number: H04N5/74 ,  G06T5/009 ,  G06T7/20 ,  G06T7/50 ,  G06V10/60

Abstract: An image output apparatus includes a communication interface comprising a circuit; a first projector; a second projector; a first driver configured to adjust a first projection location of the first projector; a second driver configured to adjust a second projection location of the second projector; and at least one processor configured to: identify context information of an input image received through the communication interface; identify a screen layout from a plurality of screen layouts, based on the context information; control, according to the screen layout, the first driver such that the first projector projects a first image to the first projection location; and control, according to the screen layout, the second driver such that the second projector projects a second image to the second projection location.

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：US20240412325A1

公开(公告)日：2024-12-12

申请号：US18811938

申请日：2024-08-22

Applicant: SAMSUNG ELECTRONICS CO., LTD.

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

IPC: G06T3/4046 ,  G06F18/21 ,  G06N3/045 ,  G06N3/08

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：US20240144438A1

公开(公告)日：2024-05-02

申请号：US18541561

申请日：2023-12-15

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jaesung PARK ,  Younghoon JEONG ,  Jongho KIM ,  Kyuha CHOI ,  Youngsu MOON

IPC: G06T5/50 ,  G06T3/40 ,  G06T5/70 ,  G06T7/13 ,  G06T7/50 ,  G06V10/46 ,  G06V10/54

CPC classification number: G06T5/50 ,  G06T3/40 ,  G06T5/70 ,  G06T7/13 ,  G06T7/50 ,  G06V10/46 ,  G06V10/54 ,  G06T2207/10024 ,  G06T2207/20221

Abstract: A display apparatus is disclosed. The display apparatus includes: a display; a memory storing at least one instruction; and one or more processors connected to the display and the memory to control the display apparatus, wherein the one or more processors are configured to: pre-process an image; obtain an edge image by identifying a contour corresponding to each of a plurality of objects included in the pre-processed image; perform image processing to adjust at least one of a thickness or a color of each of the plurality of contours included in the edge image; obtain an output image by overlaying or blending the edge image subjected to image processing on or with the pre-processed image; and display the output image through the display.