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:
Mar. 10, 2020

Filed:

Feb. 15, 2017
Applicants:

Futurewei Technologies, Inc., Plano, TX (US);

Santa Clara University, Santa Clara, CA (US);

Inventors:

Minqiang Jiang, Campbell, CA (US);

Jianhua Zheng, Beijing, CN;

Madhusudan Kalluri, Fremont, CA (US);

Nam Ling, San Jose, CA (US);

Chen-Xiong Zhang, Plano, TX (US);

Assignees:

FUTUREWEI TECHNOLOGIES, INC., Plano, TX (US);

Santa Clara University, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/36 (2006.01); H04N 19/97 (2014.01);
U.S. Cl.
CPC ...
H04N 19/97 (2014.11);
Abstract

System and method embodiments for image coding are disclosed. In an embodiment, a method in a data processing system for image encoding includes determining a sparsity constraint according to a dimension of an input image signal. The method also includes iteratively determining a plurality of approximations to the input image signal. Each iteration provides an approximation of the input image signal. Each approximation includes a set of dictionary element indices and coefficients. The dictionary is an over-complete dictionary. Iterations of the determining step are terminated when a number of iterations is equal to the sparsity constraint. The method also includes selecting one of the plurality of approximations according to a minimum rate-distortion cost. The method also includes determining an encoded image signal according to non-zero coefficients and corresponding indices for each non-zero coefficient in the selected approximation.


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