Brains Beat Algorithms at Image Compression April 11, 2019 If file sizes are given limits, the human brain outperforms computers at compressing the data needed to recreate an image.

Google has developed a new open-source image compression algorithm that it says can reduce the size of JPEG images by 35 percent. The algorithm, dubbed Guetzil (that's Swiss German for cookie), is ...

The algorithm has been trained by feeding millions of Internet images to the "AI monster," and it needs a 4GB database which contains compressed, smaller mathematical representations of the ...

CompareAI is the first iOS app to enable experimentation with a library of state-of-the-art Deep Learning-based image compression algorithms on real world, resource-limited devicesWILMINGTON, Del ...

The "middle-out" algorithm that has its roots in the most infamous (and probably funniest) scene in HBO's "Silicon Valley" may have been fictional, but something like it can be found in Lepton, a ...

So we had to compress our images with a lower compression rate to make it look good on 1024×768 and the likes. The size of the files grew, and we had to find something better again.

A group of MIT researchers believe they’ve found a way to speed up audio, video, and image compression by improving on the Fourier Transform. They say the new algorithm is up to ten times faster ...