2 February 2006 A fast MAP-based super-resolution algorithm for general motion
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Abstract
We propose a fast MAP-based super-resolution algorithm for reconstructing a high-resolution image (HRI) by combining multiple low-resolution images (LRIs). The proposed algorithm optimizes a cost function with respect to the HRI in the frequency domain, whereas existing MAP algorithms optimize with respect to the HRI in the spatial domain. Calculation amount comparison verifies that the proposed algorithm has a much smaller calculation cost than a classical algorithm. Experiments using real images are also demonstrated. They show that the proposed algorithm greatly hastens the super-resolution process, reconstructing an identical HRI to the classical algorithm.
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Masayuki Tanaka, Masayuki Tanaka, Masatoshi Okutomi, Masatoshi Okutomi, } "A fast MAP-based super-resolution algorithm for general motion", Proc. SPIE 6065, Computational Imaging IV, 60651B (2 February 2006); doi: 10.1117/12.642152; https://doi.org/10.1117/12.642152
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