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scikit-image/skimage/restoration/__init__.py
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emmanuelle dd9030d44c Implemented fast algorithm also for 3-D and 2D-RGB images. Changed API so
that there is only one function for fast and classic algorithms.
2015-01-18 22:18:29 +01:00

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# -*- coding: utf-8 -*-
"""Image restoration module.
References
----------
.. [1] 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)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-27-7-1593
.. [2] Richardson, William Hadley, "Bayesian-Based Iterative Method of
Image Restoration". JOSA 62 (1): 5559. doi:10.1364/JOSA.62.000055, 1972
.. [3] B. R. Hunt "A matrix theory proof of the discrete
convolution theorem", IEEE Trans. on Audio and
Electroacoustics, vol. au-19, no. 4, pp. 285-288, dec. 1971
"""
from .deconvolution import wiener, unsupervised_wiener, richardson_lucy
from .unwrap import unwrap_phase
from ._denoise import denoise_tv_chambolle, denoise_tv_bregman, \
denoise_bilateral
from .non_local_means import nl_means_denoising
__all__ = ['wiener',
'unsupervised_wiener',
'richardson_lucy',
'unwrap_phase',
'denoise_tv_bregman',
'denoise_tv_chambolle',
'denoise_bilateral',
'nl_means_denoising']