We introduce a simple and efficient lossless image compression algorithm. We store a low resolution version of an image as raw pixels, followed by several iterations of lossless super-resolution. For lossless super-resolution, we predict the probability of a high-resolution image, conditioned on the low-resolution input, and use entropy coding to compress this super-resolution operator. Super-Resolution based Compression (SReC) is able to achieve state-of-the-art compression rates with practical runtimes on large datasets. Code is available online at https://github.com/caoscott/SReC.
@article{arxiv.2004.02872,
title = {Lossless Image Compression through Super-Resolution},
author = {Sheng Cao and Chao-Yuan Wu and Philipp Krähenbühl},
journal= {arXiv preprint arXiv:2004.02872},
year = {2020}
}