Information theory provides the fundamental framework for understanding and designing data compression algorithms. At its core lies the concept of entropy, a quantitative measure that reflects the ...

Abstract: Entropy modeling is the core component of learned image compression (LIC) that models the distribution of latent representation learned from input images via neural networks for bit-rate ...

Google just launched Zopfli, a new open source compression algorithm that can compress web content about 3 to eight 8 more densely (PDF) than the standard zlib library. Because Zopfli is compatible ...

Founded in 2012, UK-based CompressionX has emerged from a decade of algorithmic development to launch a downloadable data compression service aimed at reshaping how businesses and individuals manage ...

Abstract: Recent advancements in learning-based image compression methods have shown promising results. The success of these methods heavily relies on the entropy model, which predicts the probability ...

ZIPPING, as any computer buff knows, enables you to compress a file so that it can be stored efficiently, or sent quickly over the Internet. But Emanuele Caglioti and his colleagues at the University ...