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» Wavelet based preconditioners for sparse linear systems
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TIP
2011
170views more  TIP 2011»
13 years 3 months ago
A New Hybrid Method for Image Approximation Using the Easy Path Wavelet Transform
The Easy Path Wavelet Transform (EPWT) has recently been proposed by one of the authors as a tool for sparse representations of bivariate functions from discrete data, in particul...
Gerlind Plonka, Stefanie Tenorth, Daniela Rosca
ICIP
2006
IEEE
14 years 9 months ago
Tree-Based Orthogonal Matching Pursuit Algorithm for Signal Reconstruction
Recent studies in linear inverse problems have recognized the sparse representation of unknown signal in a certain basis as an useful and effective prior information to solve thos...
Chinh La, Minh N. Do
SIAMSC
2010
198views more  SIAMSC 2010»
13 years 6 months ago
Analysis of Block Parareal Preconditioners for Parabolic Optimal Control Problems
In this paper, we describe block matrix algorithms for the iterative solution of large scale linear-quadratic optimal control problems arising from the optimal control of parabolic...
Tarek P. Mathew, Marcus Sarkis, Christian E. Schae...
ISVC
2009
Springer
14 years 2 months ago
Combinatorial Preconditioners and Multilevel Solvers for Problems in Computer Vision and Image Processing
Abstract. Linear systems and eigen-calculations on symmetric diagonally dominant matrices (SDDs) occur ubiquitously in computer vision, computer graphics, and machine learning. In ...
Ioannis Koutis, Gary L. Miller, David Tolliver
ICIP
2009
IEEE
14 years 9 months ago
Image Restoration By Mixture Modelling Of An Overcomplete Linear Representation
We present a new image restoration method based on modelling the coefficients of an overcomplete wavelet response to natural images with a mixture of two Gaussian distributions, h...