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. 30, 2024

Filed:

Jan. 31, 2023
Applicant:

Seadronix Corp., Ulsan, KR;

Inventors:

Byeol Teo Park, Daejeon, KR;

Han Keun Kim, Hwaseong-si, KR;

Dong Hoon Kim, Daejeon, KR;

Assignee:

SEADRONIX CORP., Ulsan, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B63B 49/00 (2006.01); G06F 18/2413 (2023.01); G06N 3/045 (2023.01); G06V 10/26 (2022.01); G06V 10/30 (2022.01); G06V 10/36 (2022.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01); G06V 20/00 (2022.01); G06V 20/70 (2022.01);
U.S. Cl.
CPC ...
B63B 49/00 (2013.01); G06F 18/2413 (2023.01); G06N 3/045 (2023.01); G06V 10/26 (2022.01); G06V 10/30 (2022.01); G06V 10/36 (2022.01); G06V 10/809 (2022.01); G06V 10/82 (2022.01); G06V 20/00 (2022.01); G06V 20/70 (2022.01);
Abstract

The present invention relates to a method for generating a processed image, the method comprising: obtaining a target image; generating a target image mask corresponding to the target image using the target image and a first artificial neural network, wherein the first artificial neural network is trained to generate an image mask from a first image, and is trained by using an error calculated from a second artificial neural network, and wherein the second artificial neural network is configured to discriminate a second image generated by applying the image mask to the first image and a reference image of which the image mask is not applied; and generating the processed image of which an environmental noise is reduced from the target image by applying the target image mask to the target image.


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