M. Wieczorek, J. Vogel, A. Weinmann, C. Jud, F. Schaff, M. Storath, F. Pfeiffer, M. Baust, T. Lasser Total Variation Regularization for X-Ray Tensor Tomography Proceedings of Fully3D, Newport, USA, June 2015 (bib)
	Tensor-valued data is more complex to validly denoise, as these shapes are usually constrained. Considerable efforts have been spent on achieving this for Diffusion Tensor Imaging. A novel tensor-valued imaging modality, X-ray Tensor Tomography (XTT) has recently been presented, where the tensors describe scattering of X-ray beams. In this work, we investigate the applicability of a Total-Variation-based method enforcing the tensors to remain on their manifold.
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