Google is using artificial intelligence to compress images better than JPEG

Next, the company plans to take on WebP with its neural network approach. A comparison of the compression approaches Google tested. Credit: Google Small is beautiful, as the old saying goes, and nowhere is that more true than in media files. Compressed images are considerably easier to transmit and store than uncompressed ones are, and now Google is using neural networks to beat JPEG at the compression game. Google began by taking a random sample of 6 million 1280×720 images on the web. It then broke those down into nonoverlapping 32×32 tiles and zeroed in on 100 of those with the worst compression ratios. The goal there, essentially, was to focus on improving performance on the “hardest-to-compress” data, because it’s bound to be easier to succeed on the rest. The…


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