https://github.com/waikato-datamining/simple-image-debayer

Simple image debayering with OpenCV.
https://github.com/waikato-datamining/simple-image-debayer

debayering image-debayering image-processing opencv python3

Last synced: 23 days ago
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Simple image debayering with OpenCV.

• Host: GitHub
• URL: https://github.com/waikato-datamining/simple-image-debayer
• Owner: waikato-datamining
• License: mit
• Created: 2020-05-24T22:26:38.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2024-04-22T04:54:14.000Z (8 months ago)
• Last Synced: 2024-11-29T18:24:52.524Z (27 days ago)
• Topics: debayering, image-debayering, image-processing, opencv, python3
• Language: Python
• Homepage:
• Size: 14.6 KB
• Stars: 5
• Watchers: 5
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGES.rst
  • License: LICENSE

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README

        
# simple-image-debayer

Simple library for debayering images with OpenCV.

See the Wikipedia article on the [Bayer filter](https://en.wikipedia.org/wiki/Bayer_filter)

for more information.

## Installation

```commandline

pip install simple-image-debayer

```

## Usage

### Command-line

You can use the `sid-debayer` command-line tool for debayering directories:

```

usage: sid-debayer [-h] -i DIR [-I EXT] [-r] [-o DIR] [-O EXT] [-c PROFILE]

                   [-p NUM] [-e] [-d] [-v] [-n]

Debayers images in a directory.

optional arguments:

  -h, --help            show this help message and exit

  -i DIR, --input_dir DIR

                        the directory to process (default: None)

  -I EXT, --input_ext EXT

                        the extension to look for in the input directory

                        (default: bmp)

  -r, --recursive       whether to look for images recursively (default:

                        False)

  -o DIR, --output_dir DIR

                        the directory to store the debayered images in;

                        performs in-place debayering if not specified

                        (default: None)

  -O EXT, --output_ext EXT

                        the extension to use for the generated images

                        (default: jpg)

  -c PROFILE, --color_profile PROFILE

                        the OpenCV color profile to use for debayering

                        (cv2.COLOR_BAYER_*) (default: COLOR_BAYER_BG2BGR)

  -p NUM, --progress_interval NUM

                        the interval of processed images to output progress

                        information in the console (default: 100)

  -e, --ignore_errors   whether to ignore any errors and keep debayering

                        (default: False)

  -d, --delete          whether to delete the input file after successfully

                        debayering it (default: False)

  -v, --verbose         whether to output directories being processed

                        (default: False)

  -n, --dry_run         whether to perform a dry-run; --verbose should be used

                        in conjunction with this flag (default: False)

```

### Python

Of course, the tool can be used as a Python library as well.

The module `sid.debayer` contains the following methods among others:

* `debayer_dir` - for debayering a directory (that is the main routine)

* `debayer_file` - for debayering a single file

* `debayer_image` - for debayering an in-memory image (in/out: `ndarray`)

* `read_image` - reads a bayered image into memory (out: `ndarray`)

* `write_image` - writes a debayered image to disk (in: `ndarray`)

* `eval_color_profile` - turns the color profile string (e.g., `COLOR_BAYER_BG2BGR`) into an integer constant 

  (e.g., `cv2.COLOR_BAYER_BG2BGR`)