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» Sparse Image Reconstruction using Sparse Priors
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CORR
2011
Springer
282views Education» more  CORR 2011»
14 years 11 months ago
Fast Linearized Bregman Iteration for Compressive Sensing and Sparse Denoising
We propose and analyze an extremely fast, efficient and simple method for solving the problem: min{ u 1 :Au=f,u∈Rn }. This method was first described in [1], with more details i...
Stanley Osher, Yu Mao, Bin Dong, Wotao Yin
CVPR
2012
IEEE
13 years 6 months ago
See all by looking at a few: Sparse modeling for finding representative objects
We consider the problem of finding a few representatives for a dataset, i.e., a subset of data points that efficiently describes the entire dataset. We assume that each data poi...
Ehsan Elhamifar, Guillermo Sapiro, René Vid...
ICIP
2006
IEEE
16 years 5 months ago
Image Reconstruction using the Benford Law
It has been claimed that the first digit of real signals follows a logarithmic distribution, called Benford law. This paper shows that this distribution is a natural prior for the...
João M. Sanches, Jorge S. Marques
142
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IGARSS
2009
15 years 1 months ago
Complex Wavelet Regularization for Solving Inverse Problems in Remote Sensing
Many problems in remote sensing can be modeled as the minimization of the sum of a data term and a prior term. We propose to use a new complex wavelet based prior and an efficient...
Mikael Carlavan, Pierre Weiss, Laure Blanc-F&eacut...
CORR
2010
Springer
65views Education» more  CORR 2010»
15 years 4 months ago
Fishing in Poisson streams: focusing on the whales, ignoring the minnows
This paper describes a low-complexity approach for reconstructing average packet arrival rates and instantaneous packet counts at a router in a communication network, where the arr...
Maxim Raginsky, Sina Jafarpour, Rebecca Willett, A...