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edwin-0.2.0
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مشاهده بیشترتوضیحات
Module related to Bayesian approach to inverse problems
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | edwin-0.2.0 |
| نام | edwin |
| نسخه کتابخانه | 0.2.0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | François Orieux |
| ایمیل نویسنده | orieux@iap.fr |
| آدرس صفحه اصلی | http://bitbucket.org/forieux/edwin/ |
| آدرس اینترنتی | https://pypi.org/project/edwin/ |
| مجوز | LICENSE.txt |
=========================
Edwin, bayesian inversion
=========================
The Bayesian inversion (``edwin``) package provides algorithm
developed during my scientific research work in numerical computation
for inverse problems (signal, image processing). Feel free to use them
as you want. Any comments and contributions are welcome.
The name ``edwin`` is in reference to Edwin T. Jaynes, a great
Bayesian Analysis scientific.
Acknowledgements
================
The use of ``edwin`` software package should be explicitly
acknowledged in publications in the following form:
1. an acknowledgment statement: "Some of the results in this paper
have been derived using some of the ``edwin`` package algorithms
From F. Orieux et al. published in *citations*.
2. at the first reference, a footnote placed in the main body of the
paper referring to the ``edwin`` web site, currently
http://bitbucket.org/forieux/edwin
The citations are mentioned in documentation, *References* section of
this file and are available in bibtex file.
Info
====
* Author: François Orieux
* Contact: orieux at iap dot fr
* Project homepage: http://bitbucket.org/forieux/edwin
* Downloads page: https://bitbucket.org/forieux/edwin/downloads
Contents
========
improcessing.py
A module that implement the algorithm described in [2] for
unsupervised myopic image deconvolution. However the myopic part
is not actually available.
inversion.py
A module that implement the algorithm described in [1] and use in
[3-4] and other papers. It's implement an unsupervised general
inverse problem algorithm estimation, based on MCMC algorithm.
sampling.py
Implementation of stochastic sampling algorithm, specially [1].
optim.py
A module that implement classical optimisation algorithm for use
of other module. They are design for very large system resolution
(dim > 1e6).
Requirements
============
This package depends on my free otb package (utility functions).
* Numpy version >= 1.4.1
* `otb <https://bitbucket.org/forieux/otb>`_ version >= 0.2.1
Installation
============
The ``pip`` version::
pip install edwin
If you have not ``pip``, download the archive, decompress it and to
install in your user path, run in a command line::
python setup.py install --user
or for the system path, run as root::
python setup.py install
Development
===========
This package follow the Semantic Versionning convention
http://semver.org/. To get the development version you can clone the
mercurial repository available here
http://bitbucket.org/forieux/edwin
The ongoing development depends on my research activity but is open. I
try to fix bugs.
License
=======
``edwin`` is free software distributed under the MIT license, see
LICENSE.txt
References
==========
A bibtex file is provided in the archive.
.. [1] F. Orieux, O. Féron and J.-F. Giovannelli, "Sampling
high-dimensional Gaussian distributions for general linear inverse
problems", IEEE Signal Processing Letters, 2012
.. [2] François Orieux, Jean-François Giovannelli, and Thomas
Rodet, "Bayesian estimation of regularization and point spread
function parameters for Wiener-Hunt deconvolution",
J. Opt. Soc. Am. A 27, 1593-1607 (2010)
.. [3] F. Orieux, E. Sepulveda, V. Loriette, B. Dubertret and
J.-C. Olivo-Marin, "Bayesian Estimation for Optimized Structured
Illumination Microscopy", IEEE trans. on Image Processing. 2012
.. [4] F. Orieux, J.-F. Giovannelli, T. Rodet, and A. Abergel,
"Estimating hyperparameters and instrument parameters in
regularized inversion Illustration for Herschel/SPIRE map
making", Astronomy & Astrohpysics, 2013
نحوه نصب
نصب پکیج whl edwin-0.2.0:
pip install edwin-0.2.0.whl
نصب پکیج tar.gz edwin-0.2.0:
pip install edwin-0.2.0.tar.gz