Subvoxel super-resolution of volumetric motion field using general order prior

Authors:
Koji Kashu;Atsushi Imiya;Tomoya Sakai
Affiliations:
School of Advanced Integration Science, Chiba University, Chiba, Japan;Institute of Media and Information Technology, Chiba University, Chiba, Japan;Department of Computer and Information Sciences, Nagasaki University, Nagasaki, Japan
Venue:
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II
Year:
2011

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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.