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TIP
2008
119views more  TIP 2008»
15 years 1 months ago
Complex Wavelet Bases, Steerability, and the Marr-Like Pyramid
Our aim in this paper is to tighten the link between wavelets, some classical image-processing operators, and David Marr's theory of early vision. The cornerstone of our appro...
Dimitri Van De Ville, Michael Unser
ECCV
2004
Springer
16 years 3 months ago
A l1-Unified Variational Framework for Image Restoration
Among image restoration literature, there are mainly two kinds of approach. One is based on a process over image wavelet coefficients, as wavelet shrinkage for denoising. The other...
Julien Bect, Laure Blanc-Féraud, Gilles Aub...
ICASSP
2008
IEEE
15 years 8 months ago
Sparse reconstruction by separable approximation
Finding sparse approximate solutions to large underdetermined linear systems of equations is a common problem in signal/image processing and statistics. Basis pursuit, the least a...
Stephen J. Wright, Robert D. Nowak, Mário A...
CORR
2010
Springer
172views Education» more  CORR 2010»
15 years 1 months ago
The MUSIC Algorithm for Sparse Objects: A Compressed Sensing Analysis
The MUSIC algorithm, and its extension for imaging sparse extended objects, with noisy data is analyzed by compressed sensing (CS) techniques. A thresholding rule is developed to a...
Albert Fannjiang
SIAMSC
2010
215views more  SIAMSC 2010»
15 years 6 days ago
A Fast Algorithm for Sparse Reconstruction Based on Shrinkage, Subspace Optimization, and Continuation
We propose a fast algorithm for solving the ℓ1-regularized minimization problem minx∈Rn µ x 1 + Ax − b 2 2 for recovering sparse solutions to an undetermined system of linea...
Zaiwen Wen, Wotao Yin, Donald Goldfarb, Yin Zhang