AI is Taking Low-Light Photography to the Next Level
When shooting a photo in low light, a low-ISO long-exposure photo requires a stable camera and blurs movement in the frame while a high-ISO short-exposure photo can be plagued with noise and poor quality. Now AI is bridging the cap, opening the door to low-ISO image quality while shooting at faster shutter speeds. A group of researchers at the University of Illinois Urbana-Champaign and Intel have published a new paper titled Learning to See in the Dark. It explains how they trained an AI to do low-light image processing and produce results that are much cleaner and more usable than traditional high-ISO photos. The team put together a set of photo pairs, with each pair containing a RAW short-exposure photo and a long-exposure version.
May-9-2018, 21:22:48 GMT
- AI-Alerts:
- 2018 > 2018-05 > AAAI AI-Alert for May 15, 2018 (1.00)
- Country:
- North America > United States > Illinois > Champaign County > Urbana (0.28)
- Genre:
- Research Report (0.40)
- Industry:
- Media > Photography (1.00)
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