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:
Jul. 05, 2022

Filed:

Apr. 29, 2020
Applicant:

Samsung Electronics Co., Ltd., Suwon-si, KR;

Inventors:

Jaeyeon Park, Suwon-si, KR;

Yongsup Park, Suwon-si, KR;

Iljun Ahn, Suwon-si, KR;

Sangwook Baek, Suwon-si, KR;

Minsu Cheon, Suwon-si, KR;

Kwangpyo Choi, Suwon-si, KR;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/40 (2022.01); G06K 9/62 (2022.01); G06N 3/08 (2006.01); G06T 5/20 (2006.01);
U.S. Cl.
CPC ...
G06V 10/40 (2022.01); G06K 9/629 (2013.01); G06K 9/6232 (2013.01); G06N 3/08 (2013.01); G06T 5/20 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Provided is an image processing apparatus including a memory storing at least one instruction, and a processor configured to execute the at least one instruction stored in the memory to obtain first feature information by performing a convolution operation on a first image and a first kernel included in a first convolution layer among a plurality of convolution layers, obtain at least one piece of characteristic information, based on the first feature information; obtain second feature information, based on the first feature information and the at least one piece of characteristic information, obtain third feature information by performing a convolution operation on the obtained second feature information and a second kernel included in a second convolution layer that is a layer next to the first convolution layer among the plurality of convolution layers, and obtain an output image, based on the third feature information.


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