Python bindings for M. Colom's IPOL Ponomarenko implementation
Project description
Ponomarenko: noise curve estimation from a single image
Python bindings for Miguel Colom's implementation of the Ponomarenko et al. method.
Version 0.0.1 -- January 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 history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file ponomarenko-0.0.1.post1.tar.gz.
File metadata
- Download URL: ponomarenko-0.0.1.post1.tar.gz
- Upload date:
- Size: 106.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e3ccb0b4f810993311f9ca7d4ade90a2a2bf16038ec64655ba7997a51def1713
|
|
| MD5 |
7681837cf16bad5f2982e355c8394bc6
|
|
| BLAKE2b-256 |
50ce508b603e3e3a2811c6ba17f288d80d57e8d33a2e3fb3e1d60a88be700f76
|
