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Total variation denoising
Known as:
Total variation regularisation
, Total variation regularization
In signal processing, Total variation denoising, also known as total variation regularization is a process, most often used in digital image…
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Related topics
Related topics
18 relations
Anisotropic diffusion
Augmented Lagrangian method
Bregman method
Compressed sensing
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Broader (1)
Signal processing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Optimal rates for total variation denoising
Jan-Christian Hutter
,
P. Rigollet
2016
Corpus ID: 88514162
Motivated by its practical success, we show that the two-dimensional total variation denoiser satisfies a sharp oracle inequality…
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2014
2014
Single-image super-resolution with total generalised variation and Shearlet regularisations
Wensen Feng
,
Hong Lei
IET Image Processing
2014
Corpus ID: 40938061
In this study, the authors proposed a novel regularisation model for resolution enhancement of clean or noisy single image based…
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2012
2012
An adaptive total variation regularization method for electrical capacitance tomography
Zhaoyan Fan
,
R. Gao
IEEE International Instrumentation and…
2012
Corpus ID: 28422356
Electrical capacitance tomography (ECT) is a nonintrusive imaging technique for monitoring dynamics within a closed container. In…
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2011
2011
Adaptive and stochastic algorithms for EIT and DC resistivity problems with piecewise constant solutions and many measurements
K. V. D. Doel
,
U. Ascher
2011
Corpus ID: 2562119
This article develops fast numerical methods for the practical solution of the famous EIT and DC-resistivity problems in the…
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2009
2009
Total Variation Denoising with Spatially Dependent Regularization
F. Knoll
,
Y. Dong
,
C. Langkammer
,
M. Hintermüller
,
R. Stollberger
2009
Corpus ID: 32131216
Fig. 3: FA maps from the original (left), and the denoised (right) DTI data set. Magnified views of a ROI (bottom) demonstrate…
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2008
2008
Sparse representation based MRI denoising with total variation
L. Bao
,
Wanyu Liu
,
Yuemin M. Zhu
,
Zhao-Bang Pu
,
Isabelle E. Magnin
International Conference on the Software Process
2008
Corpus ID: 14566015
Diffusion tensor magnetic resonance imaging is a newly developed imaging technique; however, this technique is noise sensitive…
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2008
2008
3D Digital Breast Tomosynthesis Using Total Variation Regularization
I. Kastanis
,
S. Arridge
,
A. Stewart
,
S. Gunn
,
C. Ullberg
,
T. Francke
Digital Mammography / IWDM
2008
Corpus ID: 27326348
3D digital breast imaging promises to significantly reduce both false negatives and false positives, allowing the earlier…
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2007
2007
An accelerated algebraic multigrid algorithm for total-variation denoising
Ke Chen
,
J. Savage
2007
Corpus ID: 64628367
The variational partial differential equation (PDE) approach for image denoising restoration leads to PDEs with nonlinear and…
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2002
2002
Total Variation Regularization for Edge Preserving 3D SPECT Imaging in High Performance Computing Environments
L. Antonelli
,
L. Carracciuolo
,
M. Ceccarelli
,
L. D’Amore
,
A. Murli
International Conference on Conceptual Structures
2002
Corpus ID: 17963337
Clinical diagnosis environments often require the availability of processed data in real-time, unfortunately, reconstruction…
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1999
1999
Selection of regularisation parameters for total variation denoising
V. Solo
IEEE International Conference on Acoustics…
1999
Corpus ID: 14260882
We apply a general procedure of the author to choose penalty parameters in total variation denoising. This is an automatic method…
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