Metadata-Version: 1.1
Name: prox-tv
Version: 3.1.0
Summary: Toolbox for fast Total Variation proximity operators
Home-page: https://github.com/albarji/proxTV
Author: Alvaro Barbero, Suvrit Sra
Author-email: alvaro.barbero@uam.es
License: BSD
Description: proxTV is a toolbox implementing blazing fast implementations of Total Variation proximity operators. While the core algorithms are implemented in C to achieve high efficiency, Matlab and Python interfaces are provided for ease of use. The library provides efficient solvers for a variety of Total Variation proximity problems, with address input signals of any dimensionality (1d, images, video, ...) and different norms to apply in the Total Variation term.
Keywords: total variation image processing machine learning
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: POSIX :: Linux
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.4
