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. 07, 2020

Filed:

Apr. 16, 2015
Applicant:

Beijing Smartlogic Technology Ltd., YanCun Town, CN;

Inventors:

Ruoshan Guo, Beijing, CN;

Lu Ye, Beijing, CN;

Rui Han, Beijing, CN;

Renjun Tang, Beijing, CN;

Yang Luo, Beijing, CN;

Fengli Yan, Beijing, CN;

Xiaoli Tang, Beijing, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/40 (2006.01); G06T 5/00 (2006.01); H04N 5/21 (2006.01); G06T 5/20 (2006.01); G06T 7/20 (2017.01);
U.S. Cl.
CPC ...
G06T 5/002 (2013.01); G06T 5/20 (2013.01); G06T 7/20 (2013.01); H04N 5/21 (2013.01); G06T 2207/20182 (2013.01); G06T 2207/20201 (2013.01);
Abstract

The present invention discloses a contrast adaptive video denoising system, which comprises a frame memory for buffering the filtered frame; an inter-frame difference calculating module for inter-frame difference of the current input frame of the video and a previous filtered frame in the frame memory; a contrast calculating module for calculating the local contrast of the current input frame and inputting it into a low-contrast region detection module, a calculated low-contrast region confidence together with the inter-frame difference are input into a motion detection module to calculate the motion probability for each pixel. The motion adaptive temporal filtering module performs motion adaptive temporal filtering by using the current input frame of the video and the previous filtered frame in the frame memory as well as the motion probability of each pixel, and finally outputs the current filtered frame to store in the frame memory. Said system can solve the problems of motion tailing and blurring caused by conventional video denoising systems when processing low-contrast motion videos.


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