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您现在的位置是:虫虫源码 > 其他 > 自适应图像去卷积算法(AIDA)

自适应图像去卷积算法(AIDA)

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The Adaptive Image Deconvolution Algorithm (AIDA) package was developed mainly by Erik Hom (with invaluable help from Sebastian Haase, creator of Priithon, and Franck Marchis, Planetary Astronomer at SETI Institute & UC-Berkeley) while in John Sedat"s lab at UCSF; details are described in J. Opt. Soc. Am. A 24:1580-1600 (2007). AIDA is a de novo implementation and extension of the MISTRAL myopic deconvolution method developed by Mugnier et al. (2004) (see J. Opt. Soc. Am. A 21:1841-1854). The MISTRAL approach, used thus far to process astronomical images, has been shown to yield object reconstructions with excellent edge preservation and photometric precision. AIDA improves upon the original MISTRAL implementation in the following ways: AIDA is free and intended for further open source development - please help improve it; we welcome any

文 件 列 表

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._AIDA_CostGradFunctions.py
._AIDA_Default_Settings.py
._AIDA_Functions.py
._AIDA_GFunctions.py
._AIDA_Version.py
._changelog.txt
._fftw_workaround.py
._AIDA.py
AIDA.py
AIDA_Check_Settings.py
AIDA_CostGradFunctions.py
AIDA_Default_Settings.py
AIDA_Functions.py
AIDA_GFunctions.py
AIDA_Settings.py
AIDA_Version.py
LICENSE.txt
README.txt
_not-used-yet-pyFFTW-0.9.0
._.DS_Store
.DS_Store
build
COPYING.txt
docs
PKG-INFO
pyfftw
setup.py
test
changelog.txt
fftw_workaround.py
fftw_workaround.pyc
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