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Resolving Objects at Higher Resolution from a Single Motion-blurred Image Amit Agrawal and Ramesh Raskar
 

Summary: Resolving Objects at Higher Resolution from a Single Motion-blurred Image
Amit Agrawal and Ramesh Raskar
Mitsubishi Electric Research Labs (MERL)
201 Broadway, Cambridge, MA, USA 02139
[agrawal,raskar]@merl.com
Abstract
Motion blur can degrade the quality of images and is
considered a nuisance for computer vision problems. In
this paper, we show that motion blur can in-fact be used
for increasing the resolution of a moving object. Our ap-
proach utilizes the information in a single motion-blurred
image without any image priors or training images. As the
blur size increases, the resolution of the moving object can
be enhanced by a larger factor, albeit with a corresponding
increase in reconstruction noise.
Traditionally, motion deblurring and super-resolution
have been ill-posed problems. Using a coded-exposure
camera that preserves high spatial frequencies in the
blurred image, we present a linear algorithm for the com-
bined problem of deblurring and resolution enhancement

  

Source: Agrawal, Amit - Mitsubishi Electric Research Labs

 

Collections: Engineering