SCICO is a Python package for solving imaging inverse problems, with an emphasis on problems arising in scientific imaging applications. One of the primary focuses of the package is providing methods for solving ill-posed inverse problems with the use of an appropriate prior model of the reconstruction space.

See the INSTALL.rst file for installation instructions.

Usage examples are available as Python scripts and Jupyter Notebooks. Example scripts are located in examples/scripts. The corresponding Jupyter Notebooks are provided in the scico-data submodule and symlinked to examples/notebooks. They are also viewable on GitHub.

SCICO is distributed as open-source software under a BSD 3-Clause License (see the LICENSE file for details).

LANL open source approval reference C20091.

(c) 2020-2021. Triad National Security, LLC. All rights reserved. This program was produced under U.S. Government contract 89233218CNA000001 for Los Alamos National Laboratory (LANL), which is operated by Triad National Security, LLC for the U.S. Department of Energy/National Nuclear Security Administration. All rights in the program are reserved by Triad National Security, LLC, and the U.S. Department of Energy/National Nuclear Security Administration. The Government has granted for itself and others acting on its behalf a nonexclusive, paid-up, irrevocable worldwide license in this material to reproduce, prepare derivative works, distribute copies to the public, perform publicly and display publicly, and to permit others to do so.