WO2024079532 - TEMPORALLY CONSISTENT NEURAL NETWORK PROCESSING SYSTEM
National phase entry is expected:
Publication Number
WO/2024/079532
Publication Date
18.04.2024
International Application No.
PCT/IB2023/050944
International Filing Date
03.02.2023
Title **
[English]
TEMPORALLY CONSISTENT NEURAL NETWORK PROCESSING SYSTEM
[French]
SYSTÈME DE TRAITEMENT DE RÉSEAU NEURONAL À COHÉRENCE TEMPORELLE
Applicants **
SPECTRUM OPTIX INC.
Inventors
PUT, Timothy James
D'AMORE, Colin Thomas
GORDON, Kevin Taylor
Priority Data
17/964,566
12.10.2022
US
Application details
| Total Number of Claims/PCT | * |
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International Searching Authority |
CIPO
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| Recordal of a Change of the Applicant's Name/Address |
Change of Applicant's Name and Address
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| Type of Assignment |
The Standard Agent's Assignment
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| Applicant's Legal Status |
Legal Entity
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| Entry into National Phase under |
Chapter I
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| Patent Delivery |
Send the Letters Patent by Courier
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| Translation |
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* The data is based on automatic recognition. Please verify and amend if necessary.
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Quotation for National Phase entry
| Country | Stages | Total | |
|---|---|---|---|
| China | Filing, Examination, Granting | 1975 | |
| EPO | Filing, Examination, Granting | 11033 | |
| Japan | Filing, Examination, Granting | 1979 | |
| South Korea | Filing, Examination, Granting | 1658 | |
| USA | Filing, Examination, Granting | 5340 |
Total:
21,985
The term for entry into the National Phase has expired. This quotation is for informational purposes only
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Abstract[English]
An image processing pipeline including a still or video camera includes an image processing system having a first neural network arranged to receive at least one input image from a video camera having noise features and feedback from a neural embedding. The neural network processes at least one input image and feedback from the neural embedding to provide a temporally consistent output image having reduced noise as compared to noise features in the at least one input image. In some embodiments a second neural network in the image processing system is arranged to modify at least one of an image capture setting, sensor processing, global post processing, local post processing, portfolio post processing, or provide latent vectors or neural embedding information.[French]
Un pipeline de traitement d'image comprenant une caméra fixe ou vidéo comprend un système de traitement d'image ayant un premier réseau neuronal agencé pour recevoir au moins une image d'entrée provenant d'une caméra vidéo ayant des caractéristiques de bruit et une rétroaction provenant d'un plongement neuronal. Le réseau neuronal traite au moins une image d'entrée et la rétroaction provenant du plongement neuronal pour fournir une image de sortie à cohérence temporelle ayant un bruit réduit par comparaison avec des caractéristiques de bruit dans la ou les images d'entrée. Dans certains modes de réalisation, un second réseau neuronal dans le système de traitement d'image est conçu pour modifier au moins une caractéristique parmi un réglage de capture d'image, un traitement de capteur, un post-traitement global, un post-traitement local, un post-traitement de portefeuille, ou pour fournir des vecteurs latents ou des informations de plongement neuronal.