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Lossless Image Compression through Super-Resolution

2020-04-06 17:59:40
Sheng Cao, Chao-Yuan Wu, Philipp Krähenbühl

Abstract

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 this https URL.

Abstract (translated)

URL

https://arxiv.org/abs/2004.02872

PDF

https://arxiv.org/pdf/2004.02872.pdf


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