According to ArsTechnica, researchers at Google’s deep learning research project, Google Brain, have created software that attempts to “sharpen” images made up of 8 x 8 pixels.
Of course, Google Brain’s software can’t actually enhance the original block of pixels. Instead, what it’s doing is using machine learning to try to guess what the original image might be if it had been downsized to 64 pixels.
Google Brain’s software does this with two stages of neural network training. The first stage involves a “conditioning network” that cross references the 8 x 8 pixelated image with similar-looking images that are higher resolution and then downsized, checking for patterns and colors.
The second stage, called the “prior network” then uses details from high-resolution images to try to fill out the low-resolution images.
Finally, the images produced from both neural network training sessions are then composited together to create the best approximation of what the original image might be.
Google Brains’ software isn’t technically “zoom and enhance” magic, but according to the researchers’ findings, it comes damn close and the “enhanced” images are good enough to fool most people.
Culled from AppyGeek
Seems Hollywood is close to becoming reality 