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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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