TotalVariation algorithms, providing a wrap for the external project: https://github.com/albarji/proxTV
Project description
Overview
TotalVariation algorithms. itkProxTVImageFilter provides a wrap for the external project proxTV: https://github.com/albarji/proxTV
ITK provides wrapping for Windows, macOS and Linux:
import itk
Dimension = 3
I = itk.Image[itk.F, Dimension]
reader = itk.ImageFileReader[I].New(FileName=file_name)
reader.Update()
image = reader.GetOutput()
tv = itk.ProxTVImageFilter[I, I].New()
tv.SetInput(image)
tv.SetMaximumNumberOfIterations(10)
tv.SetWeights(100)
tv.Update()
output_file_name="/tmp/tvout.nrrd"
itk.imwrite(tv.GetOutput(), output_file_name)
Examples of 3D image denoised
Original:
TotalVariation denoised:
Original:
Denoised:
Installation
To install the binary Python packages:
python -m pip install itk-totalvariation
Since ITK 5.0.0, this module is available in the ITK source tree as a remote module. To enable it, set:
Module_TotalVariation:BOOL=ON
in ITK’s CMake build configuration.
License
This software is distributed under the Apache 2.0 license. Please see the LICENSE file for details.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distributions
File details
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