Machine Vision and Applications

, Volume 23, Issue 3, pp 441–459 | Cite as

Super-resolution in practice: the complete pipeline from image capture to super-resolved subimage creation using a novel frame selection method

  • Maria PetrouEmail author
  • Mohamed H. Jaward
  • Shengyong Chen
  • Mark Briers
Original Paper


We present a complete super-resolution system using a camera, that is assumed to be on a vibrating platform and continually capturing frames of a static scene, that have to be super-resolved in particular regions of interest. In a practical system the shutter of the camera is not synchronised with the vibrations it is subjected to. So, we propose a novel method for frame selection according to their degree of blurring and we combine a tracker with the sequence of selected frames to identify the subimages containing the region of interest. The extracted subimages are subsequently co-registered using a state of the art sub-pixel registration algorithm. Further selection of the co-registered subimages takes place, according to the confidence in the registration result. Finally, the subimage of interest is super-resolved using a state of the art super-resolution algorithm. The proposed frame selection method is of generic applicability and it is validated with the help of manual frame quality assessment.


Super-resolution Image quality assessment Frame selection 


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Copyright information

© Springer-Verlag 2011

Authors and Affiliations

  • Maria Petrou
    • 1
    Email author
  • Mohamed H. Jaward
    • 1
  • Shengyong Chen
    • 1
  • Mark Briers
    • 2
  1. 1.Communications and Signal Processing Group, Electrical and Electronic Engineering DepartmentImperial CollegeLondonUK
  2. 2.AT030, QinetiQMalvernUK

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