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:
Nov. 19, 2024

Filed:

Jun. 22, 2022
Applicant:

Fujifilm Healthcare Corporation, Kashiwa, JP;

Inventors:

Yukio Kaneko, Chiba, JP;

Toru Shirai, Chiba, JP;

Atsuro Suzuki, Chiba, JP;

Tomoki Amemiya, Chiba, JP;

Suguru Yokosawa, Chiba, JP;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 5/70 (2024.01); G06T 7/00 (2017.01); G06V 10/22 (2022.01); G06V 10/50 (2022.01); G06V 10/54 (2022.01); G06V 10/764 (2022.01); G16H 30/20 (2018.01);
U.S. Cl.
CPC ...
G06T 5/70 (2024.01); G06T 7/0012 (2013.01); G06V 10/22 (2022.01); G06V 10/50 (2022.01); G06V 10/54 (2022.01); G06V 10/764 (2022.01); G16H 30/20 (2018.01); G06T 2207/10088 (2013.01); G06T 2207/30004 (2013.01); G06V 2201/03 (2022.01);
Abstract

The invention provides a technique capable of effectively and appropriately removing noise from various kinds of images including noise and artifacts and images in which a noise pattern changes due to a difference in imaging conditions. Based on a noise removal technique using AI, noise characteristics including artifacts are analyzed for each image, the image is classified based on an analysis result, an optimal neural network for a noise processing is applied for each classification, and the noise and the artifacts are reduced.


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