Python bindings for M. Colom's IPOL Ponomarenko implementation
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 email@example.com
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
pip install -e .
from the directory where
setup.py is located.
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
different intensity bins, which centers are given in the first output
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