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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
http://www.amitkagrawal.com
Abstract
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