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US Patent 11546588 Image processing apparatus, image processing method and image processing program

Patent 11546588 was granted and assigned to Nippon Telegraph and Telephone on January, 2023 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Nippon Telegraph and Telephone
Nippon Telegraph and Telephone
Current Assignee
Nippon Telegraph and Telephone
Nippon Telegraph and Telephone
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11546588
Date of Patent
January 3, 2023
Patent Application Number
17273157
Date Filed
August 26, 2019
Patent Citations
‌
US Patent 11055819 DualPath Deep BackProjection Network for super-resolution
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US Patent 11231762 Content adaptive display power savings systems and methods
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US Patent 11216698 Training a non-reference video scoring system with full reference video scores
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US Patent 10600167 Performing spatiotemporal filtering
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US Patent 10699160 Neural network method and apparatus
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US Patent 10798387 Source-consistent techniques for predicting absolute perceptual video quality
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US Patent 10916003 Image quality scorer machine
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US Patent 11037348 Method and apparatus for displaying business object in video image and electronic device
Patent Primary Examiner
‌
Frank F Huang
CPC Code
‌
H04N 19/86
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H04N 19/136
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H04N 19/117
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H04N 19/85
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H04N 19/154
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H04N 19/149

An image processing device that updates a pixel value of a processing target image and generates a new image generates a first feature vector based on the processing target image and a first feature map generated with at least one pre-decided filter; updates the processing target image to generate an updated image; generates a second feature vector based on the updated image and a second feature map generated with at least one pre-decided filter; performs quality evaluation of the updated image based on the first and second feature vectors and generates a quality feedback vector which is a vector based on a result of the quality evaluation; performs an encoding amount evaluation on the updated image and generates an encoding amount feedback vector which is a vector based on a result of the encoding amount evaluation; and determines an updating amount in updating of the updated image based on the quality feedback vector and the encoding amount feedback vector.

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