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:
Apr. 30, 2024

Filed:

Dec. 11, 2019
Applicant:

Leica Microsystems Cms Gmbh, Wetzlar, DE;

Inventors:

Constantin Kappel, Schriesheim, DE;

Florian Fahrbach, Mannheim, DE;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 5/00 (2006.01); G06N 3/08 (2023.01); G06T 5/20 (2006.01); G06T 5/50 (2006.01);
U.S. Cl.
CPC ...
G06T 5/006 (2013.01); G06N 3/08 (2013.01); G06T 5/20 (2013.01); G06T 5/50 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A method for determining a neural network for correcting optical aberrations includes determining one or more images that are at least partly related to an optical system or the design of an optical system. A neural network is determined on the basis of the determined one or more images in such a way that the determined neural network when applied to an image captured by the optical system outputs an image which has been corrected in relation to one or more optical aberrations.


Find Patent Forward Citations

Kappel, Constantin. (2024). Optical correction via machine learning (U.S. Patent No. 11972542). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11972542

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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