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:
Oct. 04, 2016

Filed:

Feb. 26, 2016
Applicant:

Ningbo University, Ningbo,Zhejiang, CN;

Inventors:

Gangyi Jiang, Zhejiang, CN;

Yang Song, Zhejiang, CN;

Zongju Peng, Zhejiang, CN;

Fen Chen, Zhejiang, CN;

Kaihui Zheng, Zhejiang, CN;

Shanshan Liu, Zhejiang, CN;

Assignee:

Ningbo University, Ningbo, Zhejiang, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/00 (2006.01); H04N 13/00 (2006.01); G06T 7/20 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0002 (2013.01); G06T 7/206 (2013.01); H04N 13/0007 (2013.01); G06T 2207/10028 (2013.01); H04N 2013/0081 (2013.01); H04N 2013/0085 (2013.01);
Abstract

An objective assessment method for a stereoscopic video quality based on a wavelet transform fuses brightness values of pixels in a left viewpoint image and a right viewpoint image of a stereoscopic image in a manner of binocular brightness information fusion, and obtains a binocular fusion brightness image of the stereoscopic image. The manner of binocular brightness information fusion overcomes a difficulty in assessing a stereoscopic perception quality of a stereoscopic video quality assessment to some extent and effectively increases an accuracy of a stereoscopic video objective quality assessment. When weighing qualities of each frame group in a binocular fusion brightness image video corresponding to a distorted stereoscopic video, the objective assessment method fully considers a sensitivity degree of a human eye visual characteristic to various types of information in the video, and determines a weight of each frame group based on a motion intensity and a brightness difference.


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