Motion deblurring and super-resolution from an image sequence

  • B. Bascle
  • A. Blake
  • A. Zisserman
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1065)


In many applications, like surveillance, image sequences are of poor quality. Motion blur in particular introduces significant image degradation. An interesting challenge is to merge these many images into one high-quality, estimated still. We propose a method to achieve this. Firstly, an object of interest is tracked through the sequence using region based matching. Secondly, degradation of images is modelled in terms of pixel sampling, defocus blur and motion blur. Motion blur direction and magnitude are estimated from tracked displacements. Finally, a high-resolution deblurred image is reconstructed. The approach is illustrated with video sequences of moving people and blurred script.


Real Image Ideal Image Motion Blur Inverse Filter Deblurred Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • B. Bascle
    • 1
  • A. Blake
    • 1
  • A. Zisserman
    • 1
  1. 1.Department of Engineering ScienceUniversity of OxfordOxfordEngland

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