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CORR
2008
Springer
109views Education» more  CORR 2008»
13 years 5 months ago
Reconstruction of Multidimensional Signals from Irregular Noisy Samples
We focus on a multidimensional field with uncorrelated spectrum, and study the quality of the reconstructed signal when the field samples are irregularly spaced and affected by in...
Alessandro Nordio, Carla-Fabiana Chiasserini, Eman...
ICIP
2006
IEEE
14 years 6 months ago
Robust Kernel Regression for Restoration and Reconstruction of Images from Sparse Noisy Data
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...
Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar
TMI
2011
127views more  TMI 2011»
12 years 12 months ago
Reconstruction of Large, Irregularly Sampled Multidimensional Images. A Tensor-Based Approach
Abstract—Many practical applications require the reconstruction of images from irregularly sampled data. The spline formalism offers an attractive framework for solving this prob...
Oleksii Vyacheslav Morozov, Michael Unser, Patrick...
ICASSP
2008
IEEE
13 years 11 months ago
Bandlimited signal reconstruction from noisy periodic nonuniform samples in time-interleaved ADCS
In this paper, we propose a time-domain method for uniform signal reconstruction from periodic nonuniform samples of a bandlimited signal when timing-skews are known. The algorith...
Vijay Divi, Gregory W. Wornell
ICASSP
2008
IEEE
13 years 11 months ago
Satellite image reconstruction from an irregular sampling
We propose a new method to solve a problem of image restoration with many different aspects: reconstruction from irregular samples, deconvolution and denoising. The model we propo...
Eric Bughin, Laure Blanc-Féraud, Josiane Ze...