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» Wavelet deconvolution
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ICIP
2003
IEEE
14 years 7 months ago
Fast GEM wavelet-based image deconvolution algorithm
The paper proposes a new wavelet-based Bayesian approach to image deconvolution, under the space-invariant blur and additive white Gaussian noise assumptions. Image deconvolution ...
José M. Bioucas-Dias
ISBI
2008
IEEE
14 years 6 months ago
Deconvolution of confocal microscopy images using proximal iteration and sparse representations
We propose a deconvolution algorithm for images blurred and degraded by a Poisson noise. The algorithm uses a fast proximal backward-forward splitting iteration. This iteration mi...
François-Xavier Dupé, Mohamed-Jalal ...
ECCV
2004
Springer
14 years 7 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...
ICIP
2010
IEEE
13 years 3 months ago
Restoration of images and 3D data to higher resolution by deconvolution with sparsity regularization
Image convolution is conventionally approximated by the LTI discrete model. It is well recognized that the higher the sampling rate, the better is the approximation. However somet...
Yingsong Zhang, Nick G. Kingsbury
ICIP
2002
IEEE
14 years 7 months ago
Image restoration under wavelet-domain priors: an expectation-maximization approach
This paper describes an expectation-maximization (EM) algorithm for wavelet-based image restoration (deconvolution). The observed image is assumed to be a convolved (e.g., blurred...
Robert D. Nowak, Mário A. T. Figueiredo