Python wrapper for BM4D for stationary correlated noise (including white noise).
BM4D is an algorithm for attenuation of additive spatially correlated stationary (aka colored) Gaussian noise for volumetric data. This package provides a wrapper for the BM4D binaries for Python for the denoising of volumetric and volumetric multichannel data. For denoising of images/2-D multichannel data, see also the bm3d package.
These newer binaries (v4+) are designed only for dealing with additive Gaussian white or correlated noise. Special features like embedded handling of Rice noise and adaptive groupwise variance estimation are supported by the legacy binaries v3.2 at https://webpages.tuni.fi/foi/GCF-BM3D/ .
This implementation is based on
The package contains the BM4D binaries compiled for:
The package is available for non-commercial use only. For details, see LICENSE.
Basic usage:
y_hat = bm4d(z, sigma) # white noise: include noise std
y_hat = bm4d(z, psd) # correlated noise: include noise PSD (size of z)
For usage examples, see the examples folder of the full source (bm4d-***.tar.gz) from https://pypi.org/project/bm4d/#files .
Contact: Ymir Mäkinen ymir.makinen@tuni.fi
FAQs
BM4D for correlated noise
We found that bm4d demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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