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ImageCompress

This is a project implementing lossy image compression using the K Means Clustering Machine learning algorithm

Install the dependencies

Firstly clone the repo. Double-click install.sh to install all the required dependencies.

To Use

Usable for a .png image.

For Compression

Follow the following steps:

  1. Rename your image to 'Compress.png'.
  2. Get your image directry path by right clicking->Properties->Location. Copy it.
  3. Run the Run.jar.
  4. Paste the path in the first field and press compress (Wait 10 seconds).

You should now have two new files alongside the image namely codebook.npy and compressed.png. These files are the compressed form of your image.

For Decompression

Follow the following steps:

  1. Get the directry path of your codebook.npy and compressed.png files as previously mentioned.
  2. Run the Run.jar.
  3. Paste the path in the second field and press decompress.

You should now have a new file in the directry as compressed1.png. This is the lossy decompressed version of your original image.

About

This is the project that I (Osama Ashhad Azmi) and Ali Asgar Sabir worked on during the mini-hackathon organized by CyberLabs on 11/03/2018.

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