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:
Aug. 05, 2025

Filed:

Apr. 13, 2023
Applicant:

Gopro, Inc., San Mateo, CA (US);

Inventors:
Assignee:

GoPro, Inc., San Mateo, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 5/50 (2006.01); G06T 3/18 (2024.01); G06T 3/4038 (2024.01); G06T 5/20 (2006.01); G06T 7/80 (2017.01); H04N 13/122 (2018.01); H04N 13/271 (2018.01); H04N 17/00 (2006.01); H04N 19/10 (2014.01); H04N 19/136 (2014.01); H04N 19/176 (2014.01); H04N 19/423 (2014.01); H04N 19/70 (2014.01); H04N 19/85 (2014.01); H04N 19/90 (2014.01); H04N 23/45 (2023.01); H04N 23/60 (2023.01); H04N 23/698 (2023.01); H04N 23/90 (2023.01); H04N 23/951 (2023.01); H04N 25/60 (2023.01); H04N 25/61 (2023.01); G06T 5/70 (2024.01); H04N 13/239 (2018.01);
U.S. Cl.
CPC ...
H04N 23/64 (2023.01); G06T 3/18 (2024.01); G06T 3/4038 (2013.01); G06T 5/20 (2013.01); G06T 5/50 (2013.01); G06T 7/85 (2017.01); H04N 13/271 (2018.05); H04N 17/002 (2013.01); H04N 19/10 (2014.11); H04N 19/136 (2014.11); H04N 19/176 (2014.11); H04N 19/423 (2014.11); H04N 19/70 (2014.11); H04N 19/85 (2014.11); H04N 19/90 (2014.11); H04N 23/45 (2023.01); H04N 23/698 (2023.01); H04N 23/90 (2023.01); H04N 23/951 (2023.01); H04N 25/60 (2023.01); H04N 25/61 (2023.01); G06T 5/70 (2024.01); G06T 2207/10016 (2013.01); H04N 13/122 (2018.05); H04N 13/239 (2018.05);
Abstract

Systems and methods are disclosed for image signal processing. For example, methods may include receiving a current image of a sequence of images from an image sensor; combining the current image with a recirculated image to obtain a noise reduced image, where the recirculated image is based on one or more previous images of the sequence of images from the image sensor; determining a noise map for the noise reduced image, where the noise map is determined based on estimates of noise levels for pixels in the current image, a noise map for the recirculated image, and a set of mixing weights; recirculating the noise map with the noise reduced image to combine the noise reduced image with a next image of the sequence of images from the image sensor; and storing, displaying, or transmitting an output image that is based on the noise reduced image.


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