US 12,243,195 B2
Low-light video system
Andreas Velten, Madison, WI (US); Trevor Seets, Madison, WI (US); Wei Lin, Madison, WI (US); Christie Lin, Madison, WI (US); Adam Uselmann, Madison, WI (US); and Yizou Lu, Madison, WI (US)
Assigned to Wisconsin Alumni Research Foundation, Madison, WI (US)
Filed by Wisconsin Alumni Research Foundation, Madison, WI (US); and OnLume Inc., Madison, WI (US)
Filed on Apr. 29, 2022, as Appl. No. 17/661,338.
Prior Publication US 2023/0351551 A1, Nov. 2, 2023
Int. Cl. G06T 5/00 (2024.01); G06T 5/50 (2006.01); G06T 5/70 (2024.01); G06T 7/20 (2017.01)
CPC G06T 5/70 (2024.01) [G06T 5/50 (2013.01); G06T 7/20 (2013.01); G06T 2207/10064 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20212 (2013.01); G06T 2207/30024 (2013.01)] 21 Claims
OG exemplary drawing
 
1. A low-light video system comprising:
at least one camera adapted to:
receive low light from an imaged object to provide a sequence of low-light image frames;
receive high light from the imaged object having a greater flux than the low light to provide a sequence of high-light image frames;
an electronic processor implementing:
(a) a motion extractor receiving the high-light image frames from the at least one camera to determine motion of the imaged object between high-light image frames; and
(b) an integrator combining low-light image frames after alignment according to the motion determined by the motion extractor to output reduced noise low-light image frames; and
further including a neural network receiving the reduced noise low-light image frames and outputting corrected low-light image frames, the neural network trained with a teaching set of pairs of low-light image frames with respectively higher and lower levels of noise with respect to a common imaged object.