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:
Dec. 30, 2025

Filed:

May. 17, 2023
Applicant:

Qualcomm Incorporated, San Diego, CA (US);

Inventors:

Guillaume Jean Fernand Berger, Toronto, CA;

Antoine Clement Mercier, Loutraki, GR;

Yashesh Sureshchandra Savani, North York, CA;

Sunny Praful Kumar Panchal, Stoney Creek, CA;

Fatih Murat Porikli, San Diego, CA (US);

Assignee:

QUALCOMM Incorporated, San Diego, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
G06T 7/97 (2017.01); G06T 2207/10024 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Systems and techniques are provided for processing image data. For example, a process can include receiving an input image comprising a padded image including a plurality of padding pixels located around a perimeter of the frame of image data. A plurality of overlapping image patches can be generated, each corresponding to a respective portion of the padded image and having a resolution. A channel-wise grouped input can be generated from the plurality of overlapping image patches and having the resolution, and includes a corresponding channel for each respective channel of each overlapping image patch of the plurality of overlapping image patches. An image processing output can be generated based on processing the channel-wise grouped input using a plurality of grouped convolutional layers of a tiled neural network, wherein at least one grouped convolutional layer of the plurality of grouped convolutional layers does not perform internal padding.


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