In this paper we propose novel methods for completion (from limited samples) and de-
noising of multilinear (tensor) data and as an application consider 3-D and 4-D (color) video …

The development of energy selective, photon counting X-ray detectors allows for a wide
range of new possibilities in the area of computed tomographic image formation. Under the …

Video magnification techniques can reveal subtle temporal variations that are difficult or
even impossible to see with the naked eye and display them in an indicative manner. State …

In this paper we propose novel methods for compression and recovery of multilinear data
under limited sampling. We exploit the recently proposed tensor-Singular Value …

Robust tensor principal component analysis extracts the low rank and sparse component of
multi-dimensional data by tensor singular value decomposition (t-SVD), which can be used …

In recent years, a considerable amount of research in the area of computed tomography
(CT) has been directed to the incorporation of the energy dependency of X-ray attenuation …

We propose a sparsity measure for third-order tensor, called all-dimension tensor nuclear
norm (AD-TNN). In specific, we exploit the tensor-singular value decomposition and tensor …