公开(公告)号：US20250124543A1

公开(公告)日：2025-04-17

申请号：US18984224

申请日：2024-12-17

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Hyunseung LEE ,  Donghyun KIM ,  Younghoon JEONG

IPC: G06T3/4046 ,  G06T3/4007 ,  G06V10/25

Abstract: A display device for performing image processing by using a neural network including a plurality of layers, may obtain a plurality of pieces of model information respectively corresponding to pixels included in a first image based on object features respectively corresponding to the pixels; identify the plurality of pieces of model information respectively corresponding to the plurality of layers and the pixels input to the neural network based on information about a time point at which each of the pixels is processed in the neural network; update parameters of the plurality of layers, based on the plurality of pieces of model information; and obtain a second image by processing the first image via the plurality of layers to which the updated parameters are applied; and display the second 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：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.