- Fehrenbach, Jérôme, Pierre Weiss, and Corinne Lorenzo. "Variational algorithms to remove stationary noise: applications to microscopy imaging." IEEE Transactions on Image Processing 21.10 (2012): 4420-4430.
- Fehrenbach, Jérôme, and Pierre Weiss. "Processing stationary noise: model and parameter selection in variational methods." SIAM Journal on Imaging Sciences 7.2 (2014): 613-640.
- *Escande, Paul, Pierre Weiss, and Wenxing Zhang. "A variational model for multiplicative structured noise removal." Journal of Mathematical Imaging and Vision 57.1 (2017): 43-55.
This repository contains the sources and executables of the GPU based denoising codes of VSNR in 2D and 3D. IMPORTANT NOTE: you will be able to use this plugin only with NVIDIA Graphics cards since it is based on the CUDA programming language.
- For Windows 64 bits users:
- to use precompiled dlls, make sure that CUDA 8.0 is installed
- create a repository ~Fiji\plugins\VSNR, where ~Fiji indicates your Fiji repository.
- copy the contents of precompiled\ in ~Fiji\plugins\VSNR
-
For Linux & Mac & Windows 32 bits users: you will need to recompile the library for your NVIDIA graphics card. Please follow the instructions given in vsnr_2D_gpu/README.txt and vsnr_3D_gpu/README.txt.
-
Note: You will find Python versions of the software here
-- https://github.com/CEA-MetroCarac/pyvsnr
-- https://pypi.org/project/pyvsnr/
-- https://zenodo.org/records/10977068
-- https://github.com/patquem/pyvsnr (using CUPY)