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:
Dec. 23, 2025

Filed:

Sep. 01, 2021
Applicant:

Synaptics Incorporated, San Jose, CA (US);

Inventor:

Omar Oreifej, Campbell, CA (US);

Assignee:

Synaptics Incorporated, San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2022.01); G06N 3/08 (2023.01); G06T 5/70 (2024.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06T 5/70 (2024.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20224 (2013.01);
Abstract

A system and method for denoising a sequence of images while maintaining a consistent appearance among images displayed consecutively in the sequence. A machine learning system maps a first input image in the sequence of images to a first output image based on a neural network algorithm and determines a first network loss based on differences between the first output image and a ground truth image. The system further maps a second input image in the sequence of images to a second output image based on the neural network algorithm and determines a second network loss based on differences between the second output image and the ground truth image. The system determines a consistency loss based on differences between the first output image and the second output image and updates the neural network algorithm based on the first network loss, the second network loss, and the consistency loss.


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