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 ...

The "middle-out" algorithm that has its roots in the most infamous ... Dropbox’s Lepton lossless image compression really uses a ‘middle-out’ algorithm. Devin Coldewey. 4:05 PM PDT · July ...

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 devices WILMINGTON, Del ...

The discrete cosine transform (DCT) remains a cornerstone of modern image and video compression techniques, enabling the decomposition of visual data into frequency components that can be ...

There are generic compression algorithms available, including Google’s open source Brotli. Lepton, written primarily in C++, is tuned to work with images, and it cuts off 22 percent of file size ...