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https://github.com/colour-science/colour-demosaicing

CFA (Colour Filter Array) demosaicing algorithms for Python
https://github.com/colour-science/colour-demosaicing

bayer cfa color color-science color-space color-spaces colorspace colorspaces colour colour-science colour-space colour-spaces colourspace colourspaces de-mosaicing debayering demosaicing demosaicking python raw

Last synced: 5 days ago
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CFA (Colour Filter Array) demosaicing algorithms for Python

Host: GitHub
URL: https://github.com/colour-science/colour-demosaicing
Owner: colour-science
License: bsd-3-clause
Created: 2015-09-27T05:18:57.000Z (about 9 years ago)
Default Branch: develop
Last Pushed: 2024-10-29T00:33:50.000Z (about 2 months ago)
Last Synced: 2024-10-29T21:05:41.584Z (about 2 months ago)
Topics: bayer, cfa, color, color-science, color-space, color-spaces, colorspace, colorspaces, colour, colour-science, colour-space, colour-spaces, colourspace, colourspaces, de-mosaicing, debayering, demosaicing, demosaicking, python, raw
Language: Jupyter Notebook
Homepage: https://www.colour-science.org
Size: 79.5 MB
Stars: 283
Watchers: 19
Forks: 58
Open Issues: 3
Metadata Files:
- Readme: README.rst
- Funding: .github/funding.yml
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md

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README

        Colour - Demosaicing

====================

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A `Python `__ package implementing various

CFA (Colour Filter Array) demosaicing algorithms and related utilities.

It is open source and freely available under the

`BSD-3-Clause `__ terms.

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

.. contents:: **Table of Contents**

    :backlinks: none

    :depth: 2

.. sectnum::

Features

--------

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

- Bilinear

- Malvar (2004)

- DDFAPD - Menon (2007)

Examples

^^^^^^^^

Various usage examples are available from the

`examples directory `__.

User Guide

----------

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 `__.

Primary Dependencies

~~~~~~~~~~~~~~~~~~~~

**Colour - Demosaicing** requires various dependencies in order to run:

- `python >= 3.10, < 3.14 `__

- `colour-science >= 4.5 `__

- `imageio >= 2, < 3 `__

- `numpy >= 1.24, < 3 `__

- `scipy >= 1.10, < 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]'

Contributing

^^^^^^^^^^^^

If you would like to contribute to `Colour - Demosaicing `__,

please refer to the following `Contributing `__

guide for `Colour `__.

Bibliography

^^^^^^^^^^^^

The bibliography is available in the repository in

`BibTeX `__

format.

API Reference

-------------

The main technical reference for `Colour - Demosaicing `__

is the `API Reference `__.

Code of Conduct

---------------

The *Code of Conduct*, adapted from the `Contributor Covenant 1.4 `__,

is available on the `Code of Conduct `__ page.

Contact & Social

----------------

The *Colour Developers* can be reached via different means:

- `Email `__

- `Facebook `__

- `Github Discussions `__

- `Gitter `__

- `Twitter `__

About

-----

| **Colour - Demosaicing** by Colour Developers

| Copyright 2015 Colour Developers – `[email protected] `__

| This software is released under terms of BSD-3-Clause: https://opensource.org/licenses/BSD-3-Clause

| `https://github.com/colour-science/colour-demosaicing `__