DeconvolutionLab2

Author
Sage, Daniel
Donati, Lauréne
Soulez, Ferréol
Fortun, Denis
Schmit, Guillaume
Seitz, Arne
Guiet, Romain
Vonesch, Cédric
Unser, Michael
Requires
Execution Platform
Implementation Type
Programming Language
Supported image dimension
Interaction Level
License/Openness
License
GPL 3
Description

DeconvolutionLab2 includes a friendly user interface to run the following deconvolution algortihms: Regularized Inverse Filter, Tikhonov Inverse Filter, Naive Inverse Filter, Richardson-Lucy, Richardson-Lucy Total Variation, Landweber (Linear Least Squares), Non-negative Least Squares, Bounded-Variable Least Squares, Van Cittert, Tikhonov-Miller, Iterative Constraint Tikhonov-Miller, FISTA, ISTA.

The backbone of our software architecture is a library that contains the number-crunching elements of the deconvolution task. It includes the tool for a complete validation pipeline. Inquisitive minds inclined to peruse the code will find it fosters the understanding of deconvolution.

has function
has topic
Entry Curator
Last modified
05/17/2023 - 09:59