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Optimal Coded Sampling for Temporal Super-Resolution Amit Agrawal

Summary: Optimal Coded Sampling for Temporal Super-Resolution
Amit Agrawal
, Mohit Gupta
, Ashok Veeraraghavan
and Srinivasa G. Narasimhan

Mitsubishi Electric Research Labs (MERL), Cambridge, MA 02139

Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213
Conventional low frame rate cameras result in blur
and/or aliasing in images while capturing fast dynamic
events. Multiple low speed cameras have been used pre-
viously with staggered sampling to increase the temporal
resolution. However, previous approaches are inefficient:
they either use small integration time for each camera which
does not provide light benefit, or use large integration time
in a way that requires solving a big ill-posed linear system.
We propose coded sampling that address these issues:


Source: Agrawal, Amit - Mitsubishi Electric Research Labs


Collections: Engineering