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. 23, 2025

Filed:

Nov. 23, 2022
Applicant:

Dell Products L.p., Round Rock, TX (US);

Inventors:

Zhisong Liu, Shenzhen, CN;

Zijia Wang, WeiFang, CN;

Zhen Jia, Shanghai, CN;

Assignee:

Dell Products L.P., Round Rock, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 5/00 (2024.01); G06T 3/40 (2006.01); G06T 5/50 (2006.01); G06V 10/75 (2022.01); G06V 10/77 (2022.01);
U.S. Cl.
CPC ...
G06T 5/50 (2013.01); G06T 3/40 (2013.01); G06V 10/751 (2022.01); G06V 10/7715 (2022.01); G06T 2207/20016 (2013.01);
Abstract

A method in one embodiment includes: extracting first image features of a first image of a first resolution and second image features of a second image of a second resolution, wherein the first resolution is less than the second resolution, and the first image and the second image correspond to each other. The method further includes: extracting reference image features of a reference image, wherein the reference image includes edges and modes for reconstruction reference. The method further includes: generating a third image of a third resolution based on the first image features, the second image features, and the reference image features, wherein the third resolution is less than or equal to the second resolution. By using this method, super-resolution image processing can be implemented on a low-resolution image to obtain a reconstructed image with similar or the same resolution as the original image, with reduced storage space and device costs.


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