DE-NOISING DATA

A method is provided for de-noising data, comprising data of interest and a target correlated noise. The data is input into two models trained on the data of interest and on the target correlated noise separately. The data of interest can thus be estimated from the data and the outputs of the two se...

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Bibliographic Details
Main Authors STEVENS, Tristan Segerus Walterus, VAN SLOUN, Ruud Johannes Gerardus, YU, Jason Richard, SHIN, Jun Seob, MERAL, Faik Can, ROBERT, Jean-Luc Francois-Marie
Format Patent
LanguageEnglish
French
German
Published 27.03.2024
Subjects
CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Summary:A method is provided for de-noising data, comprising data of interest and a target correlated noise. The data is input into two models trained on the data of interest and on the target correlated noise separately. The data of interest can thus be estimated from the data and the outputs of the two separate models.
Bibliography:Application Number: EP20220206335