Search Results - "Pesquet, J."

Proximal approaches for matrix optimization problems: Application to robust precision matrix estimation by Benfenati, A., Chouzenoux, E., Pesquet, J.–C.

“…•Proximal algorithms with sound convergence are proposed to solve matrix estimation problems.•New proximity operators for spectral functions within Bregman…”
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Epigraphical projection and proximal tools for solving constrained convex optimization problems by Chierchia, G., Pustelnik, N., Pesquet, J.-C., Pesquet-Popescu, B.

“…We propose a proximal approach to deal with a class of convex variational problems involving nonlinear constraints. A large family of constraints, proven to be…”
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Parallel Proximal Algorithm for Image Restoration Using Hybrid Regularization by Pustelnik, N., Chaux, C., Pesquet, J.

“…Regularization approaches have demonstrated their effectiveness for solving ill-posed problems. However, in the context of variational restoration methods, a…”
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A forward-backward view of some primal-dual optimization methods in image recovery by Combettes, P. L., Condat, L., Pesquet, J.-C, Vu, B. C.

“…A wide array of image recovery problems can be abstracted into the problem of minimizing a sum of composite convex functions in a Hilbert space. To solve such…”
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Image restoration subject to a total variation constraint by Combettes, P.L., Pesquet, J.-C.

“…Total variation has proven to be a valuable concept in connection with the recovery of images featuring piecewise smooth components. So far, however, it has…”
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A Douglas-Rachford Splitting Approach to Nonsmooth Convex Variational Signal Recovery by Combettes, P.L., Pesquet, J.-C.

“…Under consideration is the large body of signal recovery problems that can be formulated as the problem of minimizing the sum of two (not necessarily smooth)…”
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Immune-dependent antineoplastic effects of cisplatin plus pyridoxine in non-small-cell lung cancer by Aranda, F, Bloy, N, Pesquet, J, Petit, B, Chaba, K, Sauvat, A, Kepp, O, Khadra, N, Enot, D, Pfirschke, C, Pittet, M, Zitvogel, L, Kroemer, G, Senovilla, L

“…cis -Diamminedichloroplatinum(II) (CDDP), which is mostly referred to as cisplatin, is a widely used antineoplastic. The efficacy of cisplatin can be improved…”
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A SURE Approach for Digital Signal/Image Deconvolution Problems by Pesquet, J.-C., Benazza-Benyahia, A., Chaux, C.

“…In this paper, we are interested in the classical problem of restoring data degraded by a convolution and the addition of a white Gaussian noise. The…”
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A Neural Network Approach For Joint Optimization Of Predictors In Lifting-Based Image Coders by Dardouri, T., Kaaniche, M., Benazza-Benyahia, A., Pesquet, J.-C., Dauphin, G.

“…The objective of this paper is to investigate techniques for learning Fully Connected Network (FCN) models in a lifting based image coding scheme. More…”
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Optimized Lifting Scheme Based on A Dynamical Fully Connected Network for Image Coding by Dardouri, T., Kaaniche, M., Benazza-Benyahia, A., Pesquet, J.-C.

“…Wavelet decompositions based on lifting schemes have been widely used in image coding. Generally, the efficiency of such compression methods strongly depends…”
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Building robust wavelet estimators for multicomponent images using Stein's principle by Benazza-Benyahia, A., Pesquet, J.-C.

“…Multichannel imaging systems provide several observations of the same scene which are often corrupted by noise. In this paper, we are interested in…”
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A Nonlinear Stein-Based Estimator for Multichannel Image Denoising by Chaux, C., Duval, L., Benazza-Benyahia, A., Pesquet, J.-C.

“…The use of multicomponent images has become widespread with the improvement of multisensor systems having increased spatial and spectral resolutions. However,…”
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Learned Image Deblurring by Unfolding a Proximal Interior Point Algorithm by Corbineau, M.-C., Bertocchi, C., Chouzenoux, E., Prato, M., Pesquet, J.-C.

“…Image restoration is frequently addressed by resorting to variational methods which account for some prior knowledge about the solution. The success of these…”
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Proximal Algorithms for Multicomponent Image Recovery Problems by Briceño-Arias, L. M., Combettes, P. L., Pesquet, J.-C., Pustelnik, N.

“…In recent years, proximal splitting algorithms have been applied to various monocomponent signal and image recovery problems. In this paper, we address the…”
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A Convex Optimization Approach for Depth Estimation Under Illumination Variation by Miled, W., Pesquet, J.-C., Parent, M.

“…Illumination changes cause serious problems in many computer vision applications. We present a new method for addressing robust depth estimation from a stereo…”
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Non-separable lifting scheme with adaptive update step for still and stereo image coding by Kaaniche, M., Benazza-Benyahia, A., Pesquet-Popescu, B., Pesquet, J.-C.

“…Many existing works related to lossy-to-lossless multiresolution image compression are based on the lifting concept. It is worth noting that a separable…”
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Time-invariant orthonormal wavelet representations by Pesquet, J.-C., Krim, H., Carfantan, H.

“…A simple construction of an orthonormal basis starting with a so-called mother wavelet, together with an efficient implementation gained the wavelet…”
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Calibrationless Oscar-Based Image Reconstruction in Compressed Sensing Parallel MRI by Gueddari, L. El, Ciuciu, P., Chouzenoux, E., Vignaud, A., Pesquet, J.-C.

“…Reducing acquisition time is a crucial issue in MRI especially in the high resolution context. Compressed sensing has faced this problem for a decade. However,…”
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Vector Lifting Schemes for Stereo Image Coding by Kaaniche, M., Benazza-Benyahia, A., Pesquet-Popescu, B., Pesquet, J.-C.

“…Many research efforts have been devoted to the improvement of stereo image coding techniques for storage or transmission. In this paper, we are mainly…”
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Iterative poisson-Gaussian noise parametric estimation for blind image denoising by Jezierska, A., Pesquet, J.-C, Talbot, H., Chaux, C.

“…This paper deals with noise parameter estimation from a single image under Poisson-Gaussian noise statistics. The problem is formulated within a mixed…”
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