22 October 2004 Dynamic demosaicing and color superresolution of video sequences
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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.
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Sina Farsiu, Dirk M. Robinson, Michael Elad, Peyman Milanfar, "Dynamic demosaicing and color superresolution of video sequences", Proc. SPIE 5562, Image Reconstruction from Incomplete Data III, (22 October 2004); doi: 10.1117/12.558936; https://doi.org/10.1117/12.558936
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KEYWORDS
Lawrencium

Optical filters

Image fusion

Motion models

Matrices

Image filtering

Cameras

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