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%global _empty_manifest_terminate_build 0
Name: python-bm3d
Version: 4.0.1
Release: 1
Summary: BM3D for correlated noise.
License: Free for non-commercial use
URL: https://pypi.org/project/bm3d/
Source0: https://mirrors.aliyun.com/pypi/web/packages/49/0f/5387ec8e07b3345e9b8e23cba2a28e27a6b7bccb3e74e2e63dd23a8ca8b5/bm3d-4.0.1.tar.gz
BuildArch: noarch
Requires: python3-bm4d
Requires: python3-numpy
Requires: python3-scipy
%description
# Python wrapper for BM3D denoising - from Tampere with love
Python wrapper for BM3D for stationary correlated noise (including white noise) for color,
grayscale and multichannel images and deblurring.
BM3D is an algorithm for attenuation of additive spatially correlated
stationary (aka colored) Gaussian noise. This package provides a wrapper
for the BM3D binaries for use for grayscale, color and other multichannel images
for denoising and deblurring.
This implementation is based on Y. Mäkinen, L. Azzari, A. Foi, 2020,
"Collaborative Filtering of Correlated Noise: Exact Transform-Domain Variance for Improved Shrinkage and Patch Matching",
in IEEE Transactions on Image Processing, vol. 29, pp. 8339-8354.
This package provides a BM3D interface for the "bm4d" denoising package. Please see the bm4d package for supported platforms.
The package is available for non-commercial use only. For details, see LICENSE.
For examples, see the examples folder of the full source zip, which also includes the example noise cases demonstrated in the paper.
Alternatively, you can download the examples from http://www.cs.tut.fi/~foi/GCF-BM3D/bm3d_py_demos.zip .
Authors: \
Ymir Mäkinen <ymir.makinen@tuni.fi> \
Lucio Azzari \
Alessandro Foi
%package -n python3-bm3d
Summary: BM3D for correlated noise.
Provides: python-bm3d
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-bm3d
# Python wrapper for BM3D denoising - from Tampere with love
Python wrapper for BM3D for stationary correlated noise (including white noise) for color,
grayscale and multichannel images and deblurring.
BM3D is an algorithm for attenuation of additive spatially correlated
stationary (aka colored) Gaussian noise. This package provides a wrapper
for the BM3D binaries for use for grayscale, color and other multichannel images
for denoising and deblurring.
This implementation is based on Y. Mäkinen, L. Azzari, A. Foi, 2020,
"Collaborative Filtering of Correlated Noise: Exact Transform-Domain Variance for Improved Shrinkage and Patch Matching",
in IEEE Transactions on Image Processing, vol. 29, pp. 8339-8354.
This package provides a BM3D interface for the "bm4d" denoising package. Please see the bm4d package for supported platforms.
The package is available for non-commercial use only. For details, see LICENSE.
For examples, see the examples folder of the full source zip, which also includes the example noise cases demonstrated in the paper.
Alternatively, you can download the examples from http://www.cs.tut.fi/~foi/GCF-BM3D/bm3d_py_demos.zip .
Authors: \
Ymir Mäkinen <ymir.makinen@tuni.fi> \
Lucio Azzari \
Alessandro Foi
%package help
Summary: Development documents and examples for bm3d
Provides: python3-bm3d-doc
%description help
# Python wrapper for BM3D denoising - from Tampere with love
Python wrapper for BM3D for stationary correlated noise (including white noise) for color,
grayscale and multichannel images and deblurring.
BM3D is an algorithm for attenuation of additive spatially correlated
stationary (aka colored) Gaussian noise. This package provides a wrapper
for the BM3D binaries for use for grayscale, color and other multichannel images
for denoising and deblurring.
This implementation is based on Y. Mäkinen, L. Azzari, A. Foi, 2020,
"Collaborative Filtering of Correlated Noise: Exact Transform-Domain Variance for Improved Shrinkage and Patch Matching",
in IEEE Transactions on Image Processing, vol. 29, pp. 8339-8354.
This package provides a BM3D interface for the "bm4d" denoising package. Please see the bm4d package for supported platforms.
The package is available for non-commercial use only. For details, see LICENSE.
For examples, see the examples folder of the full source zip, which also includes the example noise cases demonstrated in the paper.
Alternatively, you can download the examples from http://www.cs.tut.fi/~foi/GCF-BM3D/bm3d_py_demos.zip .
Authors: \
Ymir Mäkinen <ymir.makinen@tuni.fi> \
Lucio Azzari \
Alessandro Foi
%prep
%autosetup -n bm3d-4.0.1
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-bm3d -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 4.0.1-1
- Package Spec generated
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