Lossless Image Compression Through Super-Resolution
This is utterly fascinating.To be clear -- it stores a low-res version in the output file, uses neural networks to predict the full-res version, then encodes the difference between the predicted full-res version and the actual full-res version, and stores that difference as well. (Technically, multiple iterations of this.)I've been wondering when image and video compression would start utilizing standard neural network "dictionaries" to achieve greater compression, at the (small) cost of requiring a local NN file that encodes all the standard image "elements".This seems like a great step in that direction.