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. 05, 2017

Filed:

Aug. 04, 2016
Applicant:

Interra Systems, Inc., Cupertino, CA (US);

Inventors:

Advait Mogre Madhav, Sunnyvale, CA (US);

Bhupender Kumar, Palwal, IN;

Pervez Alam, Dwarka, IN;

Rishi Gupta, Noida, IN;

Shekhar Madnani, Noida, IN;

Assignee:

Interra Systems, Inc., Cupertino, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/48 (2006.01); H04N 5/911 (2006.01); G06T 7/00 (2017.01); G06T 7/60 (2017.01);
U.S. Cl.
CPC ...
H04N 5/911 (2013.01); G06T 7/0002 (2013.01); G06T 7/0085 (2013.01); G06T 7/60 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/20182 (2013.01);
Abstract

A method and system detection of inherent noise present within a video source prior to digital video compression is disclosed. A noise image is extracted by subtracting a current image from its filtered version. Each pixel of the extracted noise image is normalized based on a determined principal edge image and the analog noise pixels are accumulated to generate an intermediate noise confidence value. Analog noise may be detected based on an analog noise confidence value generated based on the intermediate noise confidence value and a ringing metric, a blockiness metric, a motion vector cost of the current image, a blurriness exception weight, a flashiness exception weight, and a pan blur exception weight. The method may further comprise detection of high frequency noise based on determining a high frequency noise confidence value that may be based on a high frequency noise value and a frequency component with highest magnitude.


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