公开(公告)号：US11776092B2

公开(公告)日：2023-10-03

申请号：US16789883

申请日：2020-02-13

Applicant: LG ELECTRONICS INC.

Inventor： Woonchae Lee ,  Wonsu Choi ,  Seonhui Sunny Kim ,  Minho Lee

IPC: G06T5/00 ,  G06T7/90

CPC classification number: G06T5/002 ,  G06T7/90 ,  G06T2207/10024 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: Disclosed herein is a color restoration method and apparatus. The color restoration method may include pre-processing an input image, determining whether color is distorted, and restoring the color of the input image in an RGB scale or a grayscale according to whether the color is distorted. According to the present disclosure, color of a low light image may be restored using a deep neural network model trained through deep learning of a 5G network and color restoration.

公开(公告)号：US11200648B2

公开(公告)日：2021-12-14

申请号：US16783084

申请日：2020-02-05

Applicant: LG ELECTRONICS INC.

Inventor： Woonchae Lee ,  Wonsu Choi ,  Seonhui Sunny Kim ,  Minho Lee

IPC: G06T5/00 ,  G06T3/40 ,  G06N3/04 ,  G06N20/20 ,  G06N3/08

Abstract: A method for enhancing illumination intensity of an image according to an embodiment of the present disclosure may include receiving an image, determining a filter application scheme by using a neural network model trained to enhance the illumination intensity of the image, and outputting an image having enhanced illumination intensity by applying, to the image, the determined filter application scheme. The neural network model trained using machine learning includes a first group of layers for extracting feature information of the image, a second group of layers for determining a type of filter based on the extracted feature information, and a third group of layers for determining the optimal parameter for the filter based on the extracted feature information. The neural network model may be provided through an external server in an IoT environment using a 5G network.

公开(公告)号：US20210133938A1

公开(公告)日：2021-05-06

申请号：US16783084

申请日：2020-02-05

Applicant: LG ELECTRONICS INC.

Inventor： Woonchae Lee ,  Wonsu Choi ,  Seonhui Sunny Kim ,  Minho Lee

IPC: G06T5/00 ,  G06T3/40 ,  G06N20/20 ,  G06N3/08 ,  G06N3/04

Abstract: A method for enhancing illumination intensity of an image according to an embodiment of the present disclosure may include receiving an image, determining a filter application scheme by using a neural network model trained to enhance the illumination intensity of the image, and outputting an image having enhanced illumination intensity by applying, to the image, the determined filter application scheme. The neural network model trained using machine learning includes a first group of layers for extracting feature information of the image, a second group of layers for determining a type of filter based on the extracted feature information, and a third group of layers for determining the optimal parameter for the filter based on the extracted feature information. The neural network model may be provided through an external server in an IoT environment using a 5G network.

公开(公告)号：US20210133932A1

公开(公告)日：2021-05-06

申请号：US16789883

申请日：2020-02-13

Applicant: LG ELECTRONICS INC.

Inventor： Woonchae Lee ,  Wonsu Choi ,  Seonhui Sunny Kim ,  Minho Lee

IPC: G06T5/00 ,  G06T7/90

Abstract: Disclosed herein is a color restoration method and apparatus. The color restoration method may include pre-processing an input image, determining whether color is distorted, and restoring the color of the input image in an RGB scale or a grayscale according to whether the color is distorted. According to the present disclosure, color of a low light image may be restored using a deep neural network model trained through deep learning of a 5G network and color restoration.