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:
Aug. 03, 2021

Filed:

Aug. 15, 2019
Applicant:

Disney Enterprises, Inc., Burbank, CA (US);

Inventors:

Christopher Schroers, Glendale, CA (US);

Yifan Wang, Zurich, CH;

Victor Cornillere, Zurich, CH;

Olga Sorkine-Hornung, Zurich, CH;

Abdelaziz Djelouah, Zurich, CH;

Assignees:

DISNEY ENTERPRISES, INC., Burbank, CA (US);

ETH ZÜRICH, Zürich, CH;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 3/00 (2006.01); G06T 3/40 (2006.01);
U.S. Cl.
CPC ...
G06T 3/4046 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A scaling application estimates a downscaling kernel used to generate a downscaled image. The scaling application upscales the downscaled image based on the estimated downscaling kernel, thereby generating a higher resolution version of the downscaled image with minimal visual artifacts. The scaling application includes various networks that perform the above operations. A kernel mapping network generates a degradation map based on the estimated downscaling kernel. A degradation-aware generator network generates a reconstructed image based on the downscaled image and the degradation map. A kernel discriminator network generates an image delta that reflects visual artifacts present in the reconstructed image. The scaling application includes a parameter optimizer that iteratively modifies the estimated downscaling kernel to reduce visual artifacts indicated in the image delta. Via one or more iterations, the scaling application generates a reasonably accurate estimation of the downscaling kernel and can then upscale the downscaled image with reduced visual artifacts.


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