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» Bilevel Image Denoising Using Gaussianity Tests
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ICIP
2009
IEEE
14 years 7 months ago
Context-based Bias Removal Of Statistical Models Of Wavelet Coefficients For Image Denoising
Existing wavelet-based image denoising techniques all assume a probability model of wavelet coefficients that has zero mean, such as zero-mean Laplacian, Gaussian, or generalized ...
ICIP
2007
IEEE
14 years 8 months ago
Image Denoising with Nonparametric Hidden Markov Trees
We develop a hierarchical, nonparametric statistical model for wavelet representations of natural images. Extending previous work on Gaussian scale mixtures, wavelet coefficients ...
Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jord...
IEICET
2006
69views more  IEICET 2006»
13 years 6 months ago
Enlargement for Images with Gaussian Noise by Embedded Filtering in the LP Algorithm
In this paper, we propose an enlargement method for images with Gaussian noise based on the Laplacian pyramid (LP) representation. Unlike lowpass preprocessing approaches to the L...
Shuai Yuan, Akira Taguchi, Masahide Abe, Masayuki ...
CVIU
2010
198views more  CVIU 2010»
13 years 6 months ago
Non-Gaussian model-based fusion of noisy images in the wavelet domain
This paper describes a new methodology for multimodal image fusion based on non-Gaussian statistical modelling of wavelet coefficients. Special emphasis is placed on the fusion of...
Artur Loza, David R. Bull, Nishan Canagarajah, Ali...
CVPR
2006
IEEE
14 years 8 months ago
Image Denoising with Shrinkage and Redundant Representations
Shrinkage is a well known and appealing denoising technique. The use of shrinkage is known to be optimal for Gaussian white noise, provided that the sparsity on the signal's ...
Michael Elad, Boaz Matalon, Michael Zibulevsky