Abstract
Super-resolution is a technique to recover a high-resolution image from a low resolution image. We develop a variational super-resolution method for the subvoxel accurate volumetric optical flow computation combining variational super-resolution and the variational optical flow computation for the super-resolution optical flow computation. Furthermore, we use the prior with the fractional order differentiation for the computation of volumetric motion field to control the continuity order of the field. Our method computes the gradient and the spatial difference of a high-resolution images from these of low-resolution images directly, without computing any high resolution images which are used as intermediate data for the computation of optical flow vectors of the high-resolution image.
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Kashu, K., Imiya, A., Sakai, T. (2011). Subvoxel Super-Resolution of Volumetric Motion Field Using General Order Prior. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2011. Lecture Notes in Computer Science, vol 6939. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24031-7_27
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DOI: https://doi.org/10.1007/978-3-642-24031-7_27
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