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, 2019

Filed:

Mar. 22, 2016
Applicant:

Google Inc., Mountain View, CA (US);

Inventors:

Anil Kokaram, Sunnyvale, CA (US);

Damien Kelly, Sunnyvale, CA (US);

Andrew Joseph Crawford, Mountain View, CA (US);

Hugh Pierre Denman, San Francisco, CA (US);

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 19/65 (2014.01); H04N 19/80 (2014.01); H04N 19/85 (2014.01); G06T 5/40 (2006.01); H04N 5/14 (2006.01); H04N 19/117 (2014.01); H04N 19/142 (2014.01); H04N 19/179 (2014.01); H04N 19/86 (2014.01); G06T 5/00 (2006.01);
U.S. Cl.
CPC ...
H04N 19/65 (2014.11); G06T 5/002 (2013.01); G06T 5/40 (2013.01); H04N 5/145 (2013.01); H04N 19/117 (2014.11); H04N 19/142 (2014.11); H04N 19/179 (2014.11); H04N 19/80 (2014.11); H04N 19/85 (2014.11); H04N 19/86 (2014.11); G06T 2207/10016 (2013.01); G06T 2207/20182 (2013.01);
Abstract

Described herein are techniques related to noise reduction for image sequences or videos. This Abstract is submitted with the understanding that it will not be used to interpret or limit the scope and meaning of the claims. A noise reduction tool includes a motion estimator configured to estimated motion in the video, a noise spectrum estimator configured to estimate noise in the video, a shot detector configured to trigger the noise estimation process, a noise spectrum validator configured to validate the estimated noise spectrum, and a noise reducer to reduce noise in the video using the estimated noise spectrum.


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