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:
Jun. 29, 2021

Filed:

Aug. 10, 2020
Applicant:

Texas Instruments Incorporated, Dallas, TX (US);

Inventors:

Soyeb Nagori, Bangalore, IN;

Shyam Jagannathan, Bangalore, IN;

Deepak Kumar Poddar, Bangalore, IN;

Arun Shankar Kudana, Bangalore, IN;

Pramod Swami, Bangalore, IN;

Manoj Koul, Bangalore, IN;

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04N 19/86 (2014.01); H04N 19/176 (2014.01); H04N 19/117 (2014.01); H04N 19/139 (2014.01); H04N 19/82 (2014.01);
U.S. Cl.
CPC ...
H04N 19/86 (2014.11); H04N 19/117 (2014.11); H04N 19/139 (2014.11); H04N 19/176 (2014.11); H04N 19/82 (2014.11);
Abstract

The disclosure provides a noise filter. The noise filter includes a motion estimation (ME) engine. The ME receives a current frame and a reference frame. The current frame comprising a current block and the reference frame includes a plurality of reference blocks. The ME engine generates final motion vectors. The current block comprises a plurality of current pixels. A motion compensation unit generates a motion compensated block based on the final motion vectors and the reference frame. The motion compensated block includes a plurality of motion compensated pixels. A weighted average filter multiplies each current pixel of the plurality of current pixels and a corresponding motion compensated pixel of the plurality of motion compensated pixels with a first weight and a second weight respectively. The weighted average filter generates a filtered block. A blockiness removal unit is coupled to the weighted average filter and removes artifacts in the filtered block.


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