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. 31, 2017

Filed:

Jan. 20, 2015
Applicant:

Nvidia Corporation, Santa Clara, CA (US);

Inventors:

Dawid Stanislaw Pajak, San Jose, CA (US);

Felix Heide, Netphen, DE;

Nagilla Dikpal Reddy, Palo Alto, CA (US);

Mushfiqur Rouf, Sunnyvale, CA (US);

Jan Kautz, Lexington, MA (US);

Kari Pulli, Palo Alto, CA (US);

Orazio Gallo, Santa Cruz, CA (US);

Assignee:

NVIDIA CORPORATION, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G09G 5/02 (2006.01); G09G 5/36 (2006.01); G06T 5/00 (2006.01);
U.S. Cl.
CPC ...
G09G 5/02 (2013.01); G06T 5/001 (2013.01); G09G 5/026 (2013.01); G09G 5/363 (2013.01); G09G 2320/0238 (2013.01); G09G 2320/0242 (2013.01); G09G 2320/0247 (2013.01); G09G 2360/08 (2013.01);
Abstract

A computer implemented method of determining a latent image from an observed image is disclosed. The method comprises implementing a plurality of image processing operations within a single optimization framework, wherein the single optimization framework comprises solving a linear minimization expression. The method further comprises mapping the linear minimization expression onto at least one non-linear solver. Further, the method comprises using the non-linear solver, iteratively solving the linear minimization expression in order to extract the latent image from the observed image, wherein the linear minimization expression comprises: a data term, and a regularization term, and wherein the regularization term comprises a plurality of non-linear image priors.


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