Metadata-Version: 2.1
Name: bm3d
Version: 3.0.9
Summary: BM3D for correlated noise.
Home-page: UNKNOWN
Author: Ymir Mäkinen
Author-email: ymir.makinen@tuni.fi
License: UNKNOWN
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 includes binaries which require an additional
        installation of the OpenBLAS library (http://www.openblas.net/).
        For Windows and Mac, a version of OpenBLAS is included in the binary.
        
        The package contains the BM3D binaries compiled for:
        - Windows (Win10, MinGW-32)
        - Linux (Debian 10, 64-bit)
        - Mac OSX (El Capitan, 64-bit)
        
        The binaries are 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
        
        
        
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: Free for non-commercial use
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.5
Description-Content-Type: text/markdown
