msvst 1.0

Multi-Scale Variance Stabilization Transform

MSVST

The Multi-Scale Variance Stabilization Transform (MSVST, Starck et al. 2009) is a denoising algorithm based on wavelets suited for astronomical images. Here we provide a C++ implementation of the 2D and 2D+1D versions of the algorithm along with a python wrapper for ease of use.

The original C++ code was developed by CEA Saclay and distributed within the Sparse2D library.

Installation

MSVST is distributed as a python package an can be installed via pip. However, for the compilation of the C++ code the following software and libraries should be available in your system:

• C/C++ compiler and make
• CMake
• CFITSIO (>V3.31)
• pkg-config

In Ubuntu (and other Debian based Linux distributions) these dependencies can be installed via apt:

sudo apt install gcc make cmake libcfitsio* pkg-config

If available, the MSVST library will use OpenMPI for parallelization in multi-core systems.

Once the prerequisites are installed:

pip install msvst