Subvoxel Super-Resolution of Volumetric Motion Field Using General Order Prior

  • Koji Kashu
  • Atsushi Imiya
  • Tomoya Sakai
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6939)


Super-resolution is a technique to recover a high-resolution image from a low resolution image. We develop a variational super-resolution method for the subvoxel accurate volumetric optical flow computation combining variational super-resolution and the variational optical flow computation for the super-resolution optical flow computation. Furthermore, we use the prior with the fractional order differentiation for the computation of volumetric motion field to control the continuity order of the field. Our method computes the gradient and the spatial difference of a high-resolution images from these of low-resolution images directly, without computing any high resolution images which are used as intermediate data for the computation of optical flow vectors of the high-resolution image.


Volumetric Image Image Pyramid Optical Flow Computation Optical Flow Vector Fractional Order Differentiation 
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 2011

Authors and Affiliations

  • Koji Kashu
    • 1
  • Atsushi Imiya
    • 2
  • Tomoya Sakai
    • 3
  1. 1.School of Advanced Integration ScienceChiba UniversityJapan
  2. 2.Institute of Media and Information TechnologyChiba UniversityInage-kuJapan
  3. 3.Department of Computer and Information SciencesNagasaki UniversityBunkyo-choJapan

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