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. 28, 2021

Filed:

Jan. 09, 2020
Applicant:

Lg Electronics Inc., Seoul, KR;

Inventors:

Keum Sung Hwang, Seoul, KR;

Seung Hwan Moon, Siheung-si, KR;

Young Kwon Kim, Seoul, KR;

Hyun Dae Choi, Seoul, KR;

Assignee:

LG ELECTRONICS, Seoul, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 19/42 (2014.01); G06T 5/50 (2006.01); G06T 7/90 (2017.01); G06T 11/00 (2006.01);
U.S. Cl.
CPC ...
H04N 19/42 (2014.11); G06T 5/50 (2013.01); G06T 7/90 (2017.01); G06T 11/001 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/20221 (2013.01);
Abstract

A method for restoring a compressed image according to an embodiment of the present disclosure includes receiving monochrome image data and low resolution color image data generated from an original color image of the monochrome image data, decoding the monochrome image data and generating a low resolution monochrome image, decoding the low resolution color image data generating a low resolution color image; processing the low resolution monochrome image and generating a high resolution monochrome image in accordance with a super resolution imaging neural network; and generating a high resolution color image based on the low resolution color image and the high resolution monochrome image in accordance with a colorization imaging neural network. The imaging neural network of the present disclosure may be a deep neural network generated by machine learning, and images may be input and output in the Internet of Things environment using a 5G network.


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