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Recording and Playback of Camera Shake: Benchmarking Blind Deconvolution with a Real-World Database

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Part of the book series:Lecture Notes in Computer Science ((LNIP,volume 7578))

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Abstract

Motion blur due to camera shake is one of the predominant sources of degradation in handheld photography. Single image blind deconvolution (BD) or motion deblurring aims at restoring a sharp latent image from the blurred recorded picture without knowing the camera motion that took place during the exposure. BD is a long-standing problem, but has attracted much attention recently, cumulating in several algorithms able to restore photos degraded by real camera motion in high quality. In this paper, we present abenchmark dataset for motion deblurring that allows quantitative performance evaluation and comparison of recent approaches featuring non-uniform blur models. To this end, werecord and analyse real camera motion, which is played back on a robot platform such that we can record a sequence of sharp images sampling the six dimensional camera motion trajectory. The goal of deblurring is to recover one of these sharp images, and our dataset contains all information to assess how closely various algorithms approximate that goal. In a comprehensive comparison, we evaluate state-of-the-art single image BD algorithms incorporating uniform and non-uniform blur models.

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Authors and Affiliations

  1. Max Planck Institute for Intelligent Systems, Tübingen, Germany

    Rolf Köhler, Michael Hirsch, Betty Mohler, Bernhard Schölkopf & Stefan Harmeling

Authors
  1. Rolf Köhler

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  2. Michael Hirsch

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  3. Betty Mohler

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  4. Bernhard Schölkopf

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  5. Stefan Harmeling

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Editor information

Editors and Affiliations

  1. Microsoft Research Ltd., CB3 0FB, Cambridge, UK

    Andrew Fitzgibbon

  2. Dept. of Computer Science, University of North Carolina, 27599, Chapel Hill, NC, USA

    Svetlana Lazebnik

  3. California Institute of Technology, 91125, Pasadena, CA, USA

    Pietro Perona

  4. Institute of Industrial Science, The University of Tokyo, 153-8505, Tokyo, Japan

    Yoichi Sato

  5. INRIA, 38330, Montbonnot, France

    Cordelia Schmid

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© 2012 Springer-Verlag Berlin Heidelberg

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Köhler, R., Hirsch, M., Mohler, B., Schölkopf, B., Harmeling, S. (2012). Recording and Playback of Camera Shake: Benchmarking Blind Deconvolution with a Real-World Database. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds) Computer Vision – ECCV 2012. ECCV 2012. Lecture Notes in Computer Science, vol 7578. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33786-4_3

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