4 ms·

Noise and lack of resolution are different beasts. That paper has nothing to do with "zoom & enhance", which will never reach the level we see in movies, since

• jbattle 13y ago
  Yet both noise-reduction and resolution-enhancement are both fundamentally about taking whatever information you do have and using that to interpolate/infer information that has been lost (or was never captured). Especially in certain domains such as written letters (e.g. license plates) or faces that have a well-known structure with variations in known dimensions, I wouldn't be surprised to see algorithms that can probabilistically infer what information would have originally been there. Of course you'd never reconstruct an entire face from a single pixel, but how far can we go? I dunno - but my hunch is pretty far
  • thirdsight 13y ago
    And of course if we look at recent history we see where that technique goes terribly wrong (Xerox document archival compression).
• Houshalter 13y ago
  That's not entirely true. Images are highly redundant and have a lot of structure to them. it might be possible to reconstruct the image a decent amount from that. Obviously a lot of the information and all small details would be missing, but you could make it more recognizable.