A Rust implementation of the AGCWD algorithm

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Genetic algorithms rust contrast-enhancement
Overview

agcwd

agcwd Documentation Actions Status Coverage Status License

A Rust implementation of the AGCWD algorithm.

AGCWD is described in the paper "Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution".

Here is a live demo of enhancing images from your camera in real-time.

Examples

A Rust code snippet to enhance an RGB image:

// An example image containing 2 RGB pixels.
let mut pixels = vec![0, 1, 2, 3, 4, 5];

let agcwd = agcwd::Agcwd::new();
agcwd.enhance_rgb_image(&mut pixels);

You can apply AGCWD to a PNG image by executing the following command:

$ cargo run --example enhance-png /path/to/image.png
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Comments
Releases(0.3.1)

  • 0.3.1(Jan 23, 2022)

  • 0.3.0(Jan 23, 2022)

  • 0.2.0(Jan 16, 2022)

    What's Changed

    • Use u8 instead of f32 during conversions between RGB and HSV by @sile in https://github.com/sile/agcwd/pull/1
    • Add an example using WebAssembly by @sile in https://github.com/sile/agcwd/pull/2
      • https://sile.github.io/agcwd/examples/enhance.html

    Full Changelog: https://github.com/sile/agcwd/compare/0.1.0...0.2.0

    Source code(tar.gz)
    Source code(zip)

  • 0.1.0(Jan 14, 2022)

Owner
Takeru Ohta
Takeru Ohta
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