Ponomarenko: noise curve estimation from a single image
Python bindings for Miguel Colom's implementation of the Ponomarenko et al. method.
Version 0.0.4 -- March 23, 2020
By Charles Hessel charles.hessel@ens-paris-saclay.fr
The C++ code used in this repository has been peer-reviewed as part of the IPOL publication:
Miguel Colom, and Antoni Buades, Analysis and Extension of the Ponomarenko et al. Method, Estimating a Noise Curve from a Single Image, Image Processing On Line, 3 (2013), pp. 173–197. https://doi.org/10.5201/ipol.2013.45
Installation
Run
pip install -e .
from the directory where setup.py is located.
Usage
As a Python module
from ponomarenko import estimate_noise
bins, noise_std = estimate_noise(image)
The method estimates the standard-deviation of the noise (in noise_std) in
different intensity bins, which centers are given in the first output bins.
Release files for ponomarenko 0.0.4.post1
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Source distribution (sdist)
| File | Size | Uploaded | |
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Release files / ponomarenko-0.0.4.post1.tar.gz
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