TR2007-036

Resolving Objects at Higher Resolution from a Single Motion-blurred Image


    •  Agrawal, A., Raskar, R., "Resolving Objects at Higher Resolution from a Single Motion-blurred Image", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2007, pp. 1-8.
      BibTeX TR2007-036 PDF
      • @inproceedings{Agrawal2007jun,
      • author = {Agrawal, A. and Raskar, R.},
      • title = {Resolving Objects at Higher Resolution from a Single Motion-blurred Image},
      • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2007,
      • pages = {1--8},
      • month = jun,
      • isbn = {1-4244-1180-7},
      • url = {https://www.merl.com/publications/TR2007-036}
      • }
  • Research Area:

    Computer Vision

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 approach 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 combined problem of deblurring and resolution enhancement and analyze the invertibility of the resulting linear system. We also show a method to selectively enhance the resolution of a narrow region of high-frequency features, when the resolution of the entire moving object cannot be increased due to small motion blur. Results on real images showing up to four times resolution enhancement are presented.

 

  • Related News & Events

    •  NEWS    CVPR 2007: 3 publications by Oncel Tuzel, Amit Agrawal and Ramesh Raskar
      Date: June 17, 2007
      Where: IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
      Research Area: Computer Vision
      Brief
      • The papers "Resolving Objects at Higher Resolution from a Single Motion-blurred Image" by Agrawal, A. and Raskar, R., "Human Detection via Classification on Riemannian Manifolds" by Tuzel, O., Porikli, F. and Meer, P. and "Statistics of Infrared Images" by Morris, N., Avidan, S., Matusik, W. and Pfister, H. were presented at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
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