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US Patent 11783453 Adapting image noise removal model based on device capabilities

Patent 11783453 was granted and assigned to Bank of America on October, 2023 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Bank of America
Bank of America
Current Assignee
Bank of America
Bank of America
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11783453
Patent Inventor Names
MadhuSudhanan Krishnamoorthy
Ramaswamy M
Date of Patent
October 10, 2023
Patent Application Number
17344360
Date Filed
June 10, 2021
Patent Citations
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US Patent 7660481 Image enhancement using anisotropic noise filtering
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US Patent 7715050 Tonescales for geographically localized digital rendition of people
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US Patent 7852402 Method and apparatus for capturing high quality long exposure images with a digital camera
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US Patent 7884863 Image noise reduction device and image noise reduction method
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US Patent 7889950 Kernel regression for image processing and reconstruction
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US Patent 7116838 Enhancing the tonal and spatial characteristics of digital images using selective spatial filters
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US Patent 7289652 Medical viewing system and method for detecting and enhancing structures in noisy images
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US Patent 7369165 Noise filter for Bayer pattern image data
...
Patent Primary Examiner
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Andrae S Allison
CPC Code
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G06T 2207/20008
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G06N 3/08
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G06N 3/082
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G06V 30/414
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G06T 2207/20084
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G06V 30/41
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G06T 2207/20081
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G06T 5/002
...
Patent abstract

A system for adapting an image noise removal model based on a device processing capability receives, from a computing device, a request to adapt an image noise removal module for the computing device. The system compares a processing capability of the computing device with a threshold processing capability. The system determines whether the processing capability is greater or smaller than the threshold processing capability. In response to determining that the processing capability is greater than the threshold processing capability, the system sends a version of the image noise removal module that is adapted for computing devices with processing capabilities less than the threshold processing capability, where the version of the image noise removal module is adapted to have a number of neural network layers less than a threshold number of neural network layers.

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