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:
Jul. 01, 2025

Filed:

Dec. 12, 2022
Applicant:

Walmart Apollo, Llc, Bentonville, AR (US);

Inventors:

Saptarshi Misra, West Bengal, IN;

Anirban Chatterjee, Karnataka, IN;

Pranay Dugar, Corvallis, OR (US);

Kunal Banerjee, Karnataka, IN;

Lalitdutt Parsai, Indore, IN;

Assignee:

Walmart Apollo, LLC, Bentonville, AR (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 3/4053 (2024.01); G06T 3/4007 (2024.01); G06T 5/50 (2006.01); G06T 7/73 (2017.01); G06V 10/774 (2022.01); G06V 20/62 (2022.01); G06V 10/77 (2022.01);
U.S. Cl.
CPC ...
G06T 3/4053 (2013.01); G06T 3/4007 (2013.01); G06T 5/50 (2013.01); G06T 7/73 (2017.01); G06V 10/774 (2022.01); G06V 20/62 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06V 10/7715 (2022.01);
Abstract

Systems and methods for enhancing text in images based on super-resolution are disclosed. A low resolution image is generated based on a high resolution image. A super resolution image is generated based on the low resolution image, using a super resolution model with a set of parameters. Based on the high resolution image and the super resolution image, a total loss function is computed based on: the set of parameters, a detection loss function, a recognition loss function, and a gradient loss function of the high resolution image and the super resolution image. A trained super resolution model is generated with an optimized set of the parameters that minimizes the total loss function. Text in at least one image is enhanced using the trained super resolution model.


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