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Reconstruction of Large, Irregularly Sampled Multidimensional Images. A Tensor-Based Approach

Related publications (78)

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Multi-Way Compressed Sensing for Sparse Low-Rank Tensors

Anastasios Kyrillidis

For linear models, compressed sensing theory and methods enable recovery of sparse signals of interest from few measurements-in the order of the number of nonzero entries as opposed to the length of the signal of interest. Results of similar flavor have mo ...

Institute of Electrical and Electronics Engineers2012

Subspaces Indexing Model on Grassmann Manifold for Image Search

Xinchao Wang

Conventional linear subspace learning methods like principal component analysis (PCA), linear discriminant analysis (LDA) derive subspaces from the whole data set. These approaches have limitations in the sense that they are linear while the data distribut ...

Institute of Electrical and Electronics Engineers2011

Fast Speaker Verification on Mobile Phone data using Boosted Slice Classifiers

Sébastien Marcel, Anindya Roy

In this work, we investigate a novel computationally efficient speaker verification (SV) system involving boosted ensembles of simple threshold-based classifiers. The system is based on a novel set of features called “slice features”. Both the system and t ...

2011

Comparison of time and frequency domain interpolation implementations for MB-OFDM UWB transmitters

This paper investigates the effect of time-domain (TD) and frequency-domain (FD) interpolation on the performance of a Multi-Band (MB) Orthogonal Frequency Division Multiplexing (OFDM) Ultra-Wideband (UWB) system. We introduce a FD interpolator implemented ...

2010

Next Generation Frame Rate Conversion Algorithms

Engin Türetken

There is an increasing trend towards panel displays in consumer electronics, and they are already replacing conventional Cathode Ray Tube (CRT) displays due to their various advantages. However, the main problem of the panel displays, namely motion blur, s ...

Springer-Verlag2010

A Stochastic Minimum-Norm Approach to Image and Texture Interpolation

Michaël Unser, Hagay Kirshner

We introduce an exponential-based consistent approach to image scaling. Our model stems from Sobolev reproducing kernels, motivated by their role in continuous-domain stochastic autoregressive processes. The proposed approach imposes consistency and applie ...

EURASIP2010

Integrating river cross section measurements with digital terrain models for improved flow modelling applications

Paolo Perona

An important element in hydraulic modelling is the topography data of the riverbed and the floodplain area. The latter can be obtained directly from digital terrain models (DTM), but the measurement of the riverbed topography is not straightforward. Since ...

Elsevier2010

Case Studies in Cost-Optimized Paneling of Architectural Freeform Surfaces

Mark Pauly, Mario Moacir Deuss

Paneling an architectural freeform surface refers to an approximation of the de- sign surface by a set of panels that can be manufactured using a selected technology at a reasonable cost, while respecting the design intent and achieving the desired aesthet ...

2010

Image interpolation with edge-preserving differential motion refinement

Thomas Maugey

Motion estimation (ME) methods based on differential techniques provide useful information for video analysis, and moreover it is relatively easy to embed into them regularity constraints en- forcing for example, contour preservation. On the other hand, th ...

2009

Nonparametric Least Squares Regression for Image Reconstruction on the Sphere

Pascal Frossard, Ivana Tosic, Tamara Tosic

This paper addresses the problem of interpolating signals defined on a 2-d sphere from non-uniform samples. We present an interpolation method based on locally weighted linear and nonlinear regression, which takes into account the differences in importance ...

2009