Abstract
In this paper we consider the problem of reconstructing a high resolution image from a set of undersampled and degraded frames, all of them obtained from high resolution images with unknown shifting displacements between them. We derive an iterative method to estimate the unknown shifts and the high resolution image given the low resolution observations. Finally, the proposed method is tested on real images.
This work has been partially supported by the “Comisión Nacional de Ciencia y Tecnología” under contract TIC2003-00880.
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Villena, S., Abad, J., Molina, R., Katsaggelos, A.K. (2004). Estimation of High Resolution Images and Registration Parameters from Low Resolution Observations. In: Sanfeliu, A., Martínez Trinidad, J.F., Carrasco Ochoa, J.A. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2004. Lecture Notes in Computer Science, vol 3287. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30463-0_64
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DOI: https://doi.org/10.1007/978-3-540-30463-0_64
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