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:
May. 29, 2018

Filed:

Mar. 04, 2016
Applicant:

Peking University Shenzhen Graduate School, Shenzhen, CN;

Inventors:

Ronggang Wang, Shenzhen, CN;

Yang Zhao, Shenzhen, CN;

Zhenyu Wang, Shenzhen, CN;

Wen Gao, Shenzhen, CN;

Wenmin Wang, Shenzhen, CN;

Shengfu Dong, Shenzhen, CN;

Tiejun Huang, Shenzhen, CN;

Siwei Ma, Shenzhen, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04N 7/12 (2006.01); H04N 19/52 (2014.01); H04N 19/53 (2014.01); H04N 19/543 (2014.01); H04N 19/50 (2014.01); H04N 19/80 (2014.01); H04N 19/85 (2014.01); H04N 19/59 (2014.01);
U.S. Cl.
CPC ...
H04N 19/52 (2014.11); H04N 19/50 (2014.11); H04N 19/53 (2014.11); H04N 19/543 (2014.11); H04N 19/59 (2014.11); H04N 19/80 (2014.11); H04N 19/85 (2014.11);
Abstract

A method for video encoding based on an image super-resolution, the method including: 1) performing super-resolution interpolation on a video image to be encoded using a pre-trained texture dictionary database to yield a reference image; in which the texture dictionary database includes: one or multiple dictionary bases, and each dictionary basis includes a mapping group formed by a relatively high resolution image block of a training image and a relatively low resolution image block corresponding to the relatively high resolution image block; 2) performing motion estimation and motion compensation of image blocks of the video image on the reference image to acquire prediction blocks corresponding to the image blocks of the video image; 3) performing subtraction between the image blocks of the video image and the corresponding prediction blocks to yield prediction residual blocks, respectively; and 4) encoding the prediction residual blocks.


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