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

EURASIP Journal on Advances in Signal Processing volume 2006, Article number: 061859 (2006) Cite this article

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.

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Authors and Affiliations

  1. Electrical Engineering Department, University of California Santa Cruz, Santa Cruz, CA, 95064, USA

    Sina Farsiu & Peyman Milanfar

  2. Computer Science Department, Technion – Israel Institute of Technology, Haifa, 32000, Israel

    Michael Elad

Authors
  1. Sina Farsiu
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  2. Michael Elad
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  3. Peyman Milanfar
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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Farsiu, S., Elad, M. & Milanfar, P. Video-to-Video Dynamic Super-Resolution for Grayscale and Color Sequences. EURASIP J. Adv. Signal Process. 2006, 061859 (2006). https://doi.org/10.1155/ASP/2006/61859

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