Skip to main content

CFA (Colour Filter Array) Demosaicing Algorithms for Python

Project description

Develop Build Status Coverage Status Code Grade Package Version

A Python package implementing various CFA (Colour Filter Array) demosaicing algorithms and related utilities.

It is open source and freely available under the New BSD License terms.

https://raw.githubusercontent.com/colour-science/colour-demosaicing/master/docs/_static/Demosaicing_001.png

1   Features

The following CFA (Colour Filter Array) demosaicing algorithms are implemented:

  • Bilinear
  • Malvar (2004)
  • DDFAPD - Menon (2007)

2   Installation

Because of their size, the resources dependencies needed to run the various examples and unit tests are not provided within the Pypi package. They are separately available as Git Submodules when cloning the repository.

2.1   Primary Dependencies

Colour - Demosaicing requires various dependencies in order to run:

2.2   Pypi

Once the dependencies are satisfied, Colour - Demosaicing can be installed from the Python Package Index by issuing this command in a shell:

pip install --user colour-demosaicing

The overall development dependencies are installed as follows:

pip install --user 'colour-demosaicing[development]'

3   Usage

3.1   API

The main reference for Colour - Demosaicing is the Colour - Demosaicing Manual.

3.2   Examples

Various usage examples are available from the examples directory.

4   Contributing

If you would like to contribute to Colour - Demosaicing, please refer to the following Contributing guide for Colour.

5   Bibliography

The bibliography is available in the repository in BibTeX format.

6   Code of Conduct

The Code of Conduct, adapted from the Contributor Covenant 1.4, is available on the Code of Conduct page.

7   About

Colour - Demosaicing by Colour Developers
Copyright © 2015-2020 – Colour Developers – colour-developers@colour-science.org
This software is released under terms of New BSD License: https://opensource.org/licenses/BSD-3-Clause

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for colour-demosaicing, version 0.1.6
Filename, size File type Python version Upload date Hashes
Filename, size colour_demosaicing-0.1.6-py2.py3-none-any.whl (3.6 MB) File type Wheel Python version py2.py3 Upload date Hashes View
Filename, size colour-demosaicing-0.1.6.tar.gz (3.5 MB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page