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- Wotao Yin, Stanley Osher, Donald Goldfarb, Jérôme Darbon
- SIAM J. Imaging Sciences
- 2008

We propose simple and extremely efficient methods for solving the basis pursuit problem min{‖u‖1 : Au = f, u ∈ R}, which is used in compressed sensing. Our methods are based on Bregman iterative regularization, and they give a very accurate solution after solving only a very small number of instances of the unconstrained problem minu∈Rn μ‖u‖1+ 12‖Au−f ‖2… (More)

- WOTAO YIN, JEROME DARBON
- 2008

We propose simple and extremely efficient methods for solving the Basis Pursuit problem min{‖u‖1 : Au = f, u ∈ R}, which is used in compressed sensing. Our methods are based on Bregman iterative regularization and they give a very accurate solution after solving only a very small number of instances of the unconstrained problem min u∈Rn μ‖u‖1 + 1 2 ‖Au−… (More)

- Erdem Yörük, Ender Konukoglu, Bülent Sankur, Jérôme Darbon
- IEEE Transactions on Image Processing
- 2006

The problem of person recognition and verification based on their hand images has been addressed. The system is based on the images of the right hands of the subjects, captured by a flatbed scanner in an unconstrained pose at 45 dpi. In a preprocessing stage of the algorithm, the silhouettes of hand images are registered to a fixed pose, which involves both… (More)

- Jérôme Darbon, Marc Sigelle
- Journal of Mathematical Imaging and Vision
- 2006

This paper deals with the total variation minimization problem in image restoration for convex data fidelity functionals. We propose a new and fast algorithm which computes an exact solution in the discrete framework. Our method relies on the decomposition of an image into its level sets. It maps the original problems into independent binary Markov Random… (More)

- Antonin Chambolle, Jérôme Darbon
- International Journal of Computer Vision
- 2009

In a recent paper Boykov et al. (LNCS, Vol. 3953, pp. 409–422, 2006) propose an approach for computing curve and surface evolution using a variational approach and the geo-cuts method of Boykov and Kolmogorov (International conference on computer vision, pp. 26–33, 2003). We recall in this paper how this is related to well-known approaches for mean… (More)

We present an efficient algorithm for nonlocal image filtering with applications in electron cryomicroscopy. Our denoising algorithm is a rewriting of the recently proposed nonlocal mean filter. It builds on the separable property of neighborhood filtering to offer a fast parallel and vectorized implementation in contemporary shared memory computer… (More)

- Jérôme Darbon, Marc Sigelle
- IbPRIA
- 2005

This paper deals with the minimization of the total variation under a convex data fidelity term. We propose an algorithm which computes an exact minimizer of this problem. The method relies on the decomposition of an image into its level sets. Using these level sets, we map the problem into optimizations of independent binary Markov Random Fields. Binary… (More)

- Jérôme Darbon, Marc Sigelle
- Journal of Mathematical Imaging and Vision
- 2006

In Part II of this paper we extend the results obtained in Part I for total variation minimization in image restoration towards the following directions: first we investigate the decomposability property of energies on levels, which leads us to introduce the concept of levelable regularization functions (which TV is the paradigm of). We show that convex… (More)

- Alexandre Borghi, Jérôme Darbon, Sylvain Peyronnet, Tony F. Chan, Stanley Osher
- Signal Processing Systems
- 2013

- Loïc Denis, Florence Tupin, Jérôme Darbon, Marc Sigelle
- IEEE Transactions on Image Processing
- 2009

Synthetic aperture radar (SAR) images, like other coherent imaging modalities, suffer from speckle noise. The presence of this noise makes the automatic interpretation of images a challenging task and noise reduction is often a prerequisite for successful use of classical image processing algorithms. Numerous approaches have been proposed to filter speckle… (More)