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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… Expand
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Papers overview

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2016
2016
Motivated by its practical success, we show that the two-dimensional total variation denoiser satisfies a sharp oracle inequality… Expand
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Highly Cited
2013
Highly Cited
2013
A very fast noniterative algorithm is proposed for denoising or smoothing one-dimensional discrete signals, by solving the total… Expand
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2013
2013
Denoising is the problem of removing the inherent noise from an image. The standard noise model is additive white Gaussian noise… Expand
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Highly Cited
2012
Highly Cited
2012
Denoising is the problem of removing noise from an image. The most commonly studied case is with additive white Gaussian noise… Expand
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Highly Cited
2010
Highly Cited
2010
Image denoising methods based on gradient dependent regularizers such as Rudin et al.'s total variation (TV) model often suffer… Expand
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Highly Cited
2010
Highly Cited
2010
Total variation regularization and anisotropic filtering have been established as standard methods for image denoising because of… Expand
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Highly Cited
2006
Highly Cited
2006
Image denoising is a classical problem which has been addressed using a variety of conceptual frameworks and computational tools… Expand
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Highly Cited
2005
Highly Cited
2005
We introduce a new iterative regularization procedure for inverse problems based on the use of Bregman distances, with particular… Expand
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Highly Cited
2004
Highly Cited
2004
Soft wavelet shrinkage, total variation (TV) diffusion, TV regularization, and a dynamical system called SIDEs are four useful… Expand
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Highly Cited
1996
Highly Cited
1996
Total variation (TV) methods are very effective for recovering “blocky,” possibly discontinuous, images from noisy data. A fixed… Expand
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