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2010

Multiframe Super-Resolution Reconstruction of Small Moving Objects

7 years 10 months ago
Multiframe Super-Resolution Reconstruction of Small Moving Objects
Multiframe super-resolution (SR) reconstruction of small moving objects against a cluttered background is difficult for two reasons: a small object consists completely of "mixed" boundary pixels and the background contribution changes from frame-to-frame. We present a solution to this problem that greatly improves recognition of small moving objects under the assumption of a simple linear motion model in the real-world. The presented method not only explicitly models the image acquisition system, but also the space-time variant fore- and background contributions to the "mixed" pixels. The latter is due to a changing local background as a result of the apparent motion. The method simultaneously estimates a subpixel precise polygon boundary as well as a high-resolution (HR) intensity description of a small moving object subject to a modified total variation constraint. Experiments on simulated and real-world data show excellent performance of the proposed multiframe S...
Adam W. M. van Eekeren, Klamer Schutte, Lucas J. v
Added 22 May 2011
Updated 22 May 2011
Type Journal
Year 2010
Where TIP
Authors Adam W. M. van Eekeren, Klamer Schutte, Lucas J. van Vliet
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