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:
Oct. 13, 2020

Filed:

May. 17, 2018
Applicant:

Samsung Electronics Co., Ltd., Gyeonggi-do, KR;

Inventors:

Parichay Kapoor, Gyeonggi-do, KR;

Ji-hun Oh, Gyeonggi-do, KR;

Kwang-hoon Son, Gyeonggi-do, KR;

Young-chul Cho, Gyeonggi-do, KR;

Yong-sup Park, Seoul, KR;

Hyun-jung Kim, Gyeonggi-do, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 5/232 (2006.01); H04N 21/234 (2011.01); H04N 19/59 (2014.01); G06N 3/02 (2006.01); G06N 3/04 (2006.01); H04N 21/44 (2011.01); H04N 21/4402 (2011.01); H04N 9/04 (2006.01); H04N 21/2343 (2011.01);
U.S. Cl.
CPC ...
H04N 19/59 (2014.11); G06N 3/02 (2013.01); G06N 3/0445 (2013.01); G06N 3/0454 (2013.01); H04N 5/23232 (2013.01); H04N 5/23254 (2013.01); H04N 9/045 (2013.01); H04N 21/23418 (2013.01); H04N 21/234363 (2013.01); H04N 21/44008 (2013.01); H04N 21/440263 (2013.01); G06N 3/0481 (2013.01);
Abstract

A super-resolution processing method of a moving image is provided. The super-resolution processing method of a moving image includes sequentially inputting a plurality of input frames included in the video to any one of a recurrent neural network (RNN) for super-resolution processing and a convolutional neural network (CNN) for super-resolution processing, sequentially inputting a frame sequentially output from the any one of the RNN and the CNN to an additional one of the RNN and the CNN, and upscaling a resolution of the output frame by carrying out deconvolution with respect to a frame sequentially output from the additional one of the RNN and the CNN.


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