Okolors

Okolors generates high quality color palettes from an image for your theming needs. It does this by converting the image's pixels to the Oklab color space and then performing k-means clustering. By using a proper color space for color difference and a more accurate clustering algorithm, this helps to ensure that the generated palette is truly representative of the input image.

If you are looking for the CLI application, see the Github page.

Examples

Here are some examples of palettes generated by Okolors (using the default options).

Louvre

Hokkaido

Jewel Changi

Český Krumlov

Lake Mendota

Performance

Okolors is designed with performance in mind and should give fast results for even very large images. This is despite using k-means which is more accurate but slower than something like median cut quantization. Below are the palette generation times as reported by the CLI application with the --verbose flag. The only other flag used was -t 4 to use 4 threads. The default/empty RUSTFLAGS were specified.

Consider enabling the avx or avx2 target features for a noticeable speedup, since the underlying quantization library (quantette) utilizes SIMD. For more extensive benchmarks, see the README for quantette.

License

Okolors is licensed under either

• the Apache License, Version 2.0 (see LICENSE-APACHE)
• the MIT license (see LICENSE-MIT)

at your option.