Title
Multiframe Super-Resolution Reconstruction of Small Moving Objects
Author
van Eekeren, A.W.M.
Klamer Schutte, K.
van Vliet, L.J.
TNO Defensie en Veiligheid
Publication year
2010
Abstract
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 SR reconstruction method
Subject
Image processing
Boundary description
Moving object
Partial area effect
Super-resolution (SR) reconstruction.
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http://resolver.tudelft.nl/uuid:e8de2a7b-383b-4598-877d-4bd3175b24f0
DOI
https://doi.org/10.1109/tip.2010.2068210
TNO identifier
410630
Source
IEEE Transactions on Image Processing, 19 (11), 2901-2912
Document type
article