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» Wavelet deconvolution
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ICIP
2000
IEEE
14 years 9 months ago
Model-Based Inverse Halftoning with Wavelet-Vaguelette Deconvolution
In this paper, we demonstrate based on the linear model of [1, 2] that inverse halftoning is equivalent to the well-studied problem of deconvolution in the presence of colored noi...
Ramesh Neelamani, Robert Nowak, Richard G. Baraniu...

Book
3743views
15 years 4 months ago
Image processing and data analysis: The multiscale approach
"There is a very large literature on the theoretical underpinnings of the wavelet transform. However, theory must be complemented with a significant amount of practical work...
Jean-Luc Starck, Fionn Murtagh, Albert Bijaoui
ICIP
2009
IEEE
14 years 8 months ago
Image Deconvolution By Stein Block Thresholding
In this paper, we propose a fast image deconvolution algorithm that combines adaptive block thresholding and Vaguelet-Wavelet Decomposition. The approach consists in first denoisi...
ICIP
2007
IEEE
14 years 9 months ago
Two-Step Algorithms for Linear Inverse Problems with Non-Quadratic Regularization
Iterative shrinkage/thresholding (IST) algorithms have been recently proposed to handle high-dimensional convex optimization problems arising in image inverse problems (namely dec...
José M. Bioucas-Dias, Mário A. T. Fi...
CORR
2011
Springer
214views Education» more  CORR 2011»
12 years 11 months ago
Convex Approaches to Model Wavelet Sparsity Patterns
Statistical dependencies among wavelet coefficients are commonly represented by graphical models such as hidden Markov trees (HMTs). However, in linear inverse problems such as d...
Nikhil S. Rao, Robert D. Nowak, Stephen J. Wright,...