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:
Feb. 03, 2026

Filed:

Oct. 28, 2021
Applicant:

Boe Technology Group Co., Ltd., Beijing, CN;

Inventors:

Ran Duan, Beijing, CN;

Guannan Chen, Beijing, CN;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 5/73 (2024.01); G06T 5/20 (2006.01); G06T 5/60 (2024.01); G06T 7/11 (2017.01); G06T 7/13 (2017.01); G06V 10/44 (2022.01); G06V 10/771 (2022.01); G06V 10/80 (2022.01);
U.S. Cl.
CPC ...
G06T 5/73 (2024.01); G06T 5/20 (2013.01); G06T 5/60 (2024.01); G06T 7/11 (2017.01); G06T 7/13 (2017.01); G06V 10/44 (2022.01); G06V 10/771 (2022.01); G06V 10/806 (2022.01);
Abstract

A model training method includes: acquiring a sample set, wherein samples in the sample set include a blurred image and a sharp image of a same fingerprint; inputting the blurred image into a convolutional neural network, performing, by an encoding network in the convolutional neural network, down-sampling and feature extraction to the blurred image, to output a plurality of feature maps, and performing, by a decoding network in the convolutional neural network, up-sampling and feature extraction to the feature maps, to output a predicted image corresponding to the blurred image; according to the predicted image, the sharp image and a predetermined loss function, calculating a loss value of the convolutional neural network, and, with minimizing the loss value as a target, adjusting parameters of the convolutional neural network; and determining the convolutional neural network of which the parameters are adjusted to be an image processing model.


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