[Home]
[Book]
[Publications]
[Software]
Multi-Scale Variance Stabilizing Transform on the Sphere
Multi-Scale Variance Stabilizing Transform on the Sphere
MS-VSTS Home Page
Publication
- J. Schmitt, J.-L. Starck, J. Fadili, S. Digel, "Poisson Noise Removal in Spherical Multichannel Images: Application to FERMI Data", in Advances in Machine Learning and Data Mining for Astronomy, Chapman and Hall, Edtitors M. Way, J. Scargle, K. Ali, A. Srivastava, in press, 2011.
- J. Schmitt, J.L. Starck, J.M. Casandjian, J. Fadili, I. Grenier, "Multichannel Poisson Denoising and Deconvolution on the Sphere : Application to the Fermi Gamma Ray Space Telescope",Astronomy and Astrophysics, in press, 2012.
- J. Schmitt, J.L. Starck, J.M. Casandjian, M.J. Fadili, I. Grenier,
"Poisson Denoising on the Sphere: Application to the Fermi Gamma Ray Space Telescope",
Astronomy and Astrophysics, 517, A26, 2010.
Software: MS-VSTS Version 1.0
MS-VSTS is based on three packages, IDL ,
Healpix, and MR/S.
MS-VSTS can be used only if these three packages have been installed.
MS-VSTS contains IDL routines for spherical mono-channel and multi-channel data analysis, when the data are contaminated by a Poisson noise.
It contains routine for wavelet/curvelet denoising, wavelet deconvolution, multichannel wavelet denoising and deconvolution.
MS-VSTS has been designed for the FERMI project.
The documentation of the MS-VSTS software is available in PDF format.
MS-VSTS is included is the iSAP packages serie.
The code and more information are available at the iSAP web page.
Last modified: May, 2012.