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Proceedings Paper

Dynamic demosaicing and color superresolution of video sequences
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Paper Abstract

In the last two decades a variety of super-resolution (SR) methods have been proposed. These methods usually address the problem of fusing a set of monochromatic images to produce a single monochromatic image with higher spatial resolution. In this paper we address the dynamic and color SR problems of reconstructing a high-quality set of colored super-resolved images from low-quality mosaiced frames. Our approach includes a hybrid method for simultaneous SR 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. Experimental results on both simulated and real data are supplied, demonstrating the presented algorithm, and its strength.

Paper Details

Date Published: 22 October 2004
PDF: 10 pages
Proc. SPIE 5562, Image Reconstruction from Incomplete Data III, (22 October 2004); doi: 10.1117/12.558936
Show Author Affiliations
Sina Farsiu, Univ. of California/Santa Cruz (United States)
Dirk M. Robinson, Univ. of California/Santa Cruz (United States)
Michael Elad, Technion-Israel Institute of Technology (Israel)
Peyman Milanfar, Univ. of California/Santa Cruz (United States)


Published in SPIE Proceedings Vol. 5562:
Image Reconstruction from Incomplete Data III
Philip J. Bones; Michael A. Fiddy; Rick P. Millane, Editor(s)

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