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:
Jan. 12, 2016

Filed:

Oct. 30, 2013
Applicant:

Samsung Electronics Co., Ltd., Suwon-si, Gyeonggi-do, KR;

Inventors:

German Voronov, Holon, IL;

Shai Litvak, Hashmonai, IL;

Tomer Yanir, Monosson, IL;

Leonid Brailovsky, Herzliya, IL;

Assignee:

SAMSUNG ELECTRONICS CO., LTD., Suwon-Si, Gyeonggi-Do, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/40 (2006.01); G06T 3/40 (2006.01); G06T 5/00 (2006.01); G06T 5/50 (2006.01);
U.S. Cl.
CPC ...
G06T 3/4053 (2013.01); G06T 5/002 (2013.01); G06T 5/50 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/20182 (2013.01);
Abstract

High quality upscaling and denoising are required in mobile imaging devices that do not contain high quality lenses. Such is also required in order to scale up standard-definition video content for display in high-definition television screens. The disclosed method uses contextual information obtained during upscaling and/or denoising of frames. Relevant correspondences between patches within a frame and between frames, are detected, managed and exploited. The correspondence information is simultaneously used and updated while video frames are being processed. Two approaches may be used: 1. keeping, searching for and updating a database of useful patches, by adding frequently visible similar patches, aggregating high-frequency, low-noise information associated with the similar patches, and removing less-observed patches; 2. Using the high-resolution and noise-reduced information that was collected from earlier video frames, and is expressed by the output of latest processed frame, for upscaling and/or noise-reducing the next processed frame.


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