[go: nahoru, domu]
Skip to content
/ MU-principles Public

Comparison of principles for the selection of the regularization parameter in image restoration variational models under Poisson degradation.

0 stars 0 forks Branches Tags Activity
Star
Notifications You must be signed in to change notification settings

MonicaPragliola/MU-principles

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
MU_principles.zip
MU_principles.zip
 
 
README.md
README.md
 
 

Repository files navigation

MU-principles

The MU-principles repository contains the Matlab files for reproducing the test of the paper:

F. Bevilacqua, A. Lanza, M. Pragliola, F. Sgallari (2023) Masked unbiased principles for parameter selection in variational image restoration under Poisson noise. Inverse Problems, Volume 39, Number 3, doi:10.1088/1361-6420/acb0f7. https://iopscience.iop.org/article/10.1088/1361-6420/acb0f7/pdf

About

Comparison of principles for the selection of the regularization parameter in image restoration variational models under Poisson degradation.

Topics

parameter-estimation image-restoration poisson-noise

Resources

Readme
Activity

Stars

0 stars

Watchers

1 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

No packages published