scico

Name	scico JSON
Version	0.0.5.post1 JSON
	download
home_page	https://github.com/lanl/scico
Summary	Scientific Computational Imaging COde: A Python package for scientific imaging problems
upload_time	2023-12-22 18:14:35
maintainer
docs_url	None
author	SCICO Developers
requires_python	>=3.8
license	BSD
keywords	computational imaging scientific imaging inverse problems plug-and-play priors total variation optimization admm linearized admm pdhg pgm
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage

            
SCICO is a Python package for solving the inverse problems that arise in scientific imaging applications. Its primary focus is providing methods for solving ill-posed inverse problems by using an appropriate prior model of the reconstruction space. SCICO includes a growing suite of operators, cost functionals, regularizers, and optimization routines that may be combined to solve a wide range of problems, and is designed so that it is easy to add new building blocks. SCICO is built on top of JAX, which provides features such as automatic gradient calculation and GPU acceleration.

            

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