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Video-to-Video Dynamic Super-Resolution for Grayscale and Color Sequences

  • Sina Farsiu
  • Michael Elad
  • Peyman Milanfar
Open Access
Research Article
Part of the following topical collections:
  1. Super-Resolution Imaging: Analysis, Algorithms, and Applications

Abstract

We address the dynamic super-resolution (SR) problem of reconstructing a high-quality set of monochromatic or color super-resolved images from low-quality monochromatic, color, or mosaiced frames. Our approach includes a joint method for simultaneous SR, deblurring, and demosaicing, this way taking into account practical color measurements encountered in video sequences. For the case of translational motion and common space-invariant blur, the proposed method is based on a very fast and memory efficient approximation of the Kalman filter (KF). Experimental results on both simulated and real data are supplied, demonstrating the presented algorithms, and their strength.

Keywords

Color Information Technology Real Data Deblurring Quantum Information 

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Copyright information

© Farsiu et al. 2006

Authors and Affiliations

  • Sina Farsiu
    • 1
  • Michael Elad
    • 2
  • Peyman Milanfar
    • 1
  1. 1.Electrical Engineering DepartmentUniversity of California Santa CruzSanta CruzUSA
  2. 2.Computer Science DepartmentTechnion – Israel Institute of TechnologyHaifaIsrael

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