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Johannes Schönberger
34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
# -*- coding: utf-8 -*-
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"""Image restoration module.
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References
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----------
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.. [1] François Orieux, Jean-François Giovannelli, and Thomas
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Rodet, "Bayesian estimation of regularization and point
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spread function parameters for Wiener-Hunt deconvolution",
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J. Opt. Soc. Am. A 27, 1593-1607 (2010)
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http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-27-7-1593
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.. [2] Richardson, William Hadley, "Bayesian-Based Iterative Method of
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Image Restoration". JOSA 62 (1): 55–59. doi:10.1364/JOSA.62.000055, 1972
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.. [3] B. R. Hunt "A matrix theory proof of the discrete
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convolution theorem", IEEE Trans. on Audio and
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Electroacoustics, vol. au-19, no. 4, pp. 285-288, dec. 1971
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"""
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from .deconvolution import wiener, unsupervised_wiener, richardson_lucy
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from .unwrap import unwrap_phase
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from ._denoise import denoise_tv_chambolle, denoise_tv_bregman, \
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denoise_bilateral
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__all__ = ['wiener',
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'unsupervised_wiener',
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'richardson_lucy',
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'unwrap_phase',
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'denoise_tv_bregman',
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'denoise_tv_chambolle',
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'denoise_bilateral']
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