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scq

Spatial Colour Quantization, True-colour images to palette conversion

The bezeye-media project demonstrates the use of SCQ.

Welcome to the Wonderful World of colour compression

Spatial Colour Quantization is a lossy colour compression.
It introduces dithering as background noise, allowing the mixing of colours in a natural seeming way.
With a limited and well-chosen colours, it can convincingly reduce 24-bit RGB to less than 6 bits palette.

This version of scq has evolved into handling video and transparency.
The latest collaboration is with the splash` codec.

splash prioritizes the position of pixels and scq prioritizes the RGB value of pixels.

The original research paper can be found here:
https://www.researchgate.net/publication/220502178_On_spatial_quantization_of_color_images

The page with D. Coetzee's implementation:
https://people.eecs.berkeley.edu/~dcoetzee/downloads/scolorq

Manifest

• bezeye-scq.cc
  Adaptation used for bezeye, focuses on animation/transparency.

• gaia1-scq.cc
  Adaptation used for gaia1, focuses on animation/transparency/size.
  Gaia1 was submitted as part of the Revision 2014 Animated Gif Compo.

• qrpicture-scq.cc
  Adaptation used for qrpicture, focuses on creating QR safe colour ranges.

• scolorq-0.4.cc
  Original v0.4 implementation by D. Coetzee.

Source code

Grab one of the tarballs at https://github.com/xyzzy/scq/releases or checkout the latest code:

  git clone https://github.com/xyzzy/scq.git

Versioning

Using SemVer for versioning. For the versions available, see the tags on this repository.

License

This project is licensed under Affero GPLv3 - see the LICENSE.txt file for details.

Acknowledgments

• D. Coetzee and his amazing work on the mathematical background of Spatial Colour Quantization