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:
Sep. 19, 2023

Filed:

Jul. 07, 2022
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Ionut Mironica, Bucharest, RO;

Oscar Bolaños, Basel, CH;

Andreea Birhala, Bucharest, RO;

Assignee:

Adobe Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/33 (2017.01); G06T 5/50 (2006.01); G06F 18/213 (2023.01); G06T 5/00 (2006.01); G06T 7/00 (2017.01); G06V 10/82 (2022.01); G06V 10/30 (2022.01);
U.S. Cl.
CPC ...
G06T 5/005 (2013.01); G06F 18/213 (2023.01); G06T 5/50 (2013.01); G06T 7/0002 (2013.01); G06T 7/337 (2017.01); G06V 10/30 (2022.01); G06V 10/82 (2022.01); G06T 2200/24 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30168 (2013.01);
Abstract

In implementations of correcting dust and scratch artifacts in digital images, an artifact correction system receives a digital image that depicts a scene and includes a dust or scratch artifact. The artifact correction system generates, with a generator of a generative adversarial neural network (GAN), a feature map from the digital image that represents features of the dust or scratch artifact and features of the scene. A training system can train the generator adversarially to reduce visibility of dust and scratch artifacts in digital images against a discriminator, and train the discriminator to distinguish between reconstructed digital images generated by the generator and real-world digital images. The artifact correction system generates, from the feature map and with the generator, a reconstructed digital image that depicts the scene of the digital image and reduces visibility of the dust or scratch artifact of the digital image.


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