Image Compression

With rusty-machine!

This project has no purpose beyond showing off some functionality of rusty-machine (and clap/image).

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This project provides a toy implementation of image compression using rusty-machine. We use the K-Means algorithm to cluster the colours in an image and produce a new image made up of only the mean of each cluster.

Original	Compressed

The compressed image above contains only 10 unique colours.

Usage

The output below is thanks to clap!

./target/release/image-compression --help
Image Compression 0.1.0
James Lucas
Uses rusty-machine's K-Means model to compress images

USAGE:
    image-compression --input <FILE> --output <FILE> -c <INTEGER>

FLAGS:
    -h, --help       Prints help information
    -V, --version    Prints version information

OPTIONS:
    -c <INTEGER>           The number of colors present in the output image
    -i, --input <FILE>     The input image path
    -o, --output <FILE>    The output image path

I'd recommend running this in release mode otherwise it will be pretty slow. This is not an efficient compression algorithm and will take a while to run on large images.

Finally this doesn't really compress the image at all! The output image is saved in whichever format is specified by the output argument - but it should be smaller in size.