Model Recovers Data Lost from Images and Video in Low Dimensions

A model was developed that recovers valuable data lost from images and video that have been “collapsed” into lower dimensions. The model could be used to recreate video from motion-blurred images or from new types of cameras that capture a person’s movement around corners but only as vague, onedimensional lines. The approach could be used to convert 2D medical images into more informative — but more expensive — 3D body scans, which could benefit medical imaging in poorer nations.