Estimation of the Noise Level Function in Multivariate Images using the Tree of Shapes and non-parametric statistics

Authors

Baptiste Esteban

Type

techreport

Year

2020

Number

2002

Abstract

Nowadays, a lot of image processing application needs to know the noise level of an image to take it into account in these processes or to remove it. To do that, we developed a method to estimate the noise level, modelised by a functionthe noise level function, for grayscale images, and then for multivariate imagesusing simplified hypotheses. This semester, we introduced new tools to improve this method and to remove the simplified hypotheses defined the last semester.