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» The Use of Residuals in Image Denoising
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ICASSP
2011
IEEE
13 years 12 days ago
Sparsity-based Sinogram Denoising for low-dose Computed Tomography
We propose a sinogram restoration method which consists of a patch-wise non-linear processing, based on a sparsity prior in terms of a learned dictionary. An off-line learning pro...
Joseph Shtok, Michael Elad, Michael Zibulevsky
SMI
2008
IEEE
255views Image Analysis» more  SMI 2008»
14 years 3 months ago
GPU-accelerated surface denoising and morphing with lattice Boltzmann scheme
In this paper, we introduce a parallel numerical scheme, the lattice Boltzmann method, to shape modeling applications. The motivation of using this originally-designed fluid dyna...
Ye Zhao
VIS
2004
IEEE
140views Visualization» more  VIS 2004»
14 years 10 months ago
Vector Wavelet Thresholding for Vector Field Denoising
Noise reduction is an important preprocessing step for many visualization techniques that make use of feature extraction. We propose a method for denoising 2-D vector fields that ...
Michel A. Westenberg, Thomas Ertl
TIP
2008
169views more  TIP 2008»
13 years 8 months ago
Efficient Nonlocal Means for Denoising of Textural Patterns
The present paper contributes two novel techniques in the context of image restoration by nonlocal filtering. Firstly, we introduce an efficient implementation of the nonlocal mean...
Thomas Brox, Oliver Kleinschmidt, Daniel Cremers
TIP
2008
89views more  TIP 2008»
13 years 8 months ago
Optimal Denoising in Redundant Representations
Abstract--Image denoising methods are often designed to minimize mean-squared error (MSE) within the subbands of a multiscale decomposition. However, most high-quality denoising re...
Martin Raphan, Eero P. Simoncelli