Wednesday, October 08, 2014

Magni: A Python Package for Compressive Sampling and Reconstruction of Atomic Force Microscopy Images - implementation -

Found through Thomas' tweet, a software metapaper:



Magni: A Python Package for Compressive Sampling and Reconstruction of Atomic Force Microscopy Images by Christian Schou Oxvig, Patrick Steffen Pedersen, Thomas Arildsen, Jan Østergaard, Torben Larsen

Abstract

Magni is an open source Python package that embraces compressed sensing and Atomic Force Microscopy (AFM) imaging techniques. It provides AFM-specific functionality for undersampling and reconstructing images from AFM equipment and thereby accelerating the acquisition of AFM images. Magni also provides researchers in compressed sensing with a selection of algorithms for reconstructing undersampled general images, and offers a consistent and rigorous way to efficiently evaluate the researchers own developed reconstruction algorithms in terms of phase transitions. The package also serves as a convenient platform for researchers in compressed sensing aiming at obtaining a high degree of reproducibility of their research.

An implementation is on GitHub
 
Join the CompressiveSensing subreddit or the Google+ Community and post there !
Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email, explore the Big Picture in Compressive Sensing or the Matrix Factorization Jungle and join the conversations on compressive sensing, advanced matrix factorization and calibration issues on Linkedin.

No comments:

Printfriendly