The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 14, 2021

Filed:

Feb. 05, 2020
Applicant:

Lg Electronics Inc., Seoul, KR;

Inventors:

Woonchae Lee, Seoul, KR;

Wonsu Choi, Gwangmyeong-si, KR;

Seonhui Sunny Kim, Seoul, KR;

Minho Lee, Seoul, KR;

Assignee:

LG ELECTRONICS INC., Seoul, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 5/00 (2006.01); G06T 3/40 (2006.01); G06N 3/04 (2006.01); G06N 20/20 (2019.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06T 5/009 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 20/20 (2019.01); G06T 3/40 (2013.01); G06T 5/002 (2013.01); G06T 5/003 (2013.01); G06T 2207/20024 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
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.


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