Mila Nikolova

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11 articles

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Raymond H. ChanProvost, Lingnan University, Hong KongAdresse e-mail validée de ln.edu.hk
Michael Kwok-Po NgAMS, AAIA, SIAM Fellows, Dean of Science, Chair Professor in Mathematics & in Data Science, HKBUAdresse e-mail validée de hkbu.edu.hk
T F ChanPresident, King Abdullah University of Science & TechnologyAdresse e-mail validée de kaust.edu.sa
Jian-Feng CaiProfessor of Mathematics, Hong Kong University of Science and TechnologyAdresse e-mail validée de ust.hk
Jalal FadiliCNRS-ENSICAEN-Université CaenAdresse e-mail validée de greyc.ensicaen.fr
Jérôme IdierSignal and Image Processing, CNRS, LS2N, Nantes, FranceAdresse e-mail validée de ls2n.fr
Alfred HeroJohn H Holland Distinguished University Professor, University of MichiganAdresse e-mail validée de eecs.umich.edu
Francois MalgouyresInstitut de Mathématiques de Toulouse, Université Paul Sabatier.Adresse e-mail validée de math.univ-toulouse.fr

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Mila Nikolova

CNRS

Adresse e-mail validée de cmla.ens-cachan.fr - Page d'accueil

image processing optimization


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization RH Chan, CW Ho, M Nikolova IEEE Transactions on image processing 14 (10), 1479-1485, 2005	1603	2005
Algorithms for finding global minimizers of image segmentation and denoising models TF Chan, S Esedoglu, M Nikolova SIAM journal on applied mathematics 66 (5), 1632-1648, 2006	1412	2006
A variational approach to remove outliers and impulse noise M Nikolova Journal of Mathematical Imaging and Vision 20 (1), 99-120, 2004	854	2004
Analysis of half-quadratic minimization methods for signal and image recovery M Nikolova, MK Ng SIAM Journal on Scientific computing 27 (3), 937-966, 2005	500	2005
Minimizers of cost-functions involving nonsmooth data-fidelity terms. Application to the processing of outliers M Nikolova SIAM Journal on Numerical Analysis 40 (3), 965-994, 2002	433	2002
Local strong homogeneity of a regularized estimator M Nikolova SIAM Journal on Applied Mathematics 61 (2), 633-658, 2000	352	2000
Fast nonconvex nonsmooth minimization methods for image restoration and reconstruction M Nikolova, MK Ng, CP Tam IEEE Transactions on Image Processing 19 (12), 3073-3088, 2010	318	2010
An iterative procedure for removing random-valued impulse noise RH Chan, C Hu, M Nikolova IEEE signal processing letters 11 (12), 921-924, 2004	282	2004
Efficient reconstruction of piecewise constant images using nonsmooth nonconvex minimization M Nikolova, MK Ng, S Zhang, WK Ching SIAM journal on Imaging Sciences 1 (1), 2-25, 2008	237	2008
Two-phase approach for deblurring images corrupted by impulse plus Gaussian noise JF Cai, RH Chan, M Nikolova Inverse Problems and Imaging 2 (2), 187-204, 2008	228	2008
Analysis of the recovery of edges in images and signals by minimizing nonconvex regularized least-squares M Nikolova Multiscale Modeling & Simulation 4 (3), 960-991, 2005	219	2005
Fast two-phase image deblurring under impulse noise JF Cai, RH Chan, M Nikolova Journal of Mathematical Imaging and Vision 36 (1), 46-53, 2010	215	2010
Efficient minimization methods of mixed l2-l1 and l1-l1 norms for image restoration H Fu, MK Ng, M Nikolova, JL Barlow SIAM Journal on Scientific computing 27 (6), 1881-1902, 2006	211	2006
Multiplicative noise removal using L1 fidelity on frame coefficients S Durand, J Fadili, M Nikolova Journal of Mathematical Imaging and Vision 36, 201-226, 2010	206	2010
The equivalence of half-quadratic minimization and the gradient linearization iteration M Nikolova, RH Chan IEEE Transactions on Image Processing 16 (6), 1623-1627, 2007	158	2007
Markovian reconstruction using a GNC approach M Nikolova IEEE Transactions on Image Processing 8 (9), 1204-1220, 1999	135	1999
Weakly constrained minimization: application to the estimation of images and signals involving constant regions M Nikolova Journal of Mathematical Imaging and Vision 21 (2), 155-175, 2004	126	2004
The use of super‐resolution techniques to reduce slice thickness in functional MRI RR Peeters, P Kornprobst, M Nikolova, S Sunaert, T Vieville, G Malandain, ... International Journal of Imaging Systems and Technology 14 (3), 131-138, 2004	118	2004
Description of the Minimizers of Least Squares Regularized with -norm. Uniqueness of the Global Minimizer M Nikolova SIAM Journal on Imaging Sciences 6 (2), 904-937, 2013	113	2013
Fast hue and range preserving histogram specification: Theory and new algorithms for color image enhancement M Nikolova, G Steidl IEEE transactions on image processing 23 (9), 4087-4100, 2014	109	2014

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