Survey and comparison of data-driven and model-based techniques for image compression

Comparison of different techniques for image compression.

Installation

Use the conda environment:

conda env create -f environment.yml
conda activate compression_review

Download the dataset at https://drive.google.com/file/d/1GosUlmgYzaVI-ypmEidJUAj75aCLZUbi/view?usp=sharing Put the dataset in the same level as at the folder '''compression_review'''

Testing

Run the code with:

python test.py

The results will be at '''compression_review/''', with the various types of orders, blocks and methods used.

Proccessed results

Results availabe for download in https://drive.google.com/drive/folders/1ir8E9nLVfpw4cnEGEvVNodx8v6fKqzbv?usp=sharing

Technical Report

Report available at https://drive.google.com/file/d/1dELMVxL67Lv7_UnDIg7P9CtxeWmeGDCW/view?usp=drive_link