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» Sparse Image Reconstruction using Sparse Priors
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CORR
2011
Springer
282views Education» more  CORR 2011»
15 years 1 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 8 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 7 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
IGARSS
2009
15 years 3 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 6 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...