| 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 | 1481 | 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 | 1338 | 2006 |
| A variational approach to remove outliers and impulse noise M Nikolova Journal of Mathematical Imaging and Vision 20 (1-2), 99-120, 2004 | 809 | 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 | 433 | 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 | 414 | 2002 |
| Local strong homogeneity of a regularized estimator M Nikolova SIAM Journal on Applied Mathematics 61 (2), 633-658, 2000 | 317 | 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 | 286 | 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 | 263 | 2004 |
| 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 | 212 | 2008 |
| 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 | 211 | 2008 |
| 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 | 201 | 2006 |
| 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 | 199 | 2005 |
| Fast two-phase image deblurring under impulse noise JF Cai, RH Chan, M Nikolova Journal of Mathematical Imaging and Vision 36 (1), 46, 2010 | 198 | 2010 |
| 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 | 187 | 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 | 141 | 2007 |
| Markovian reconstruction using a GNC approach M Nikolova IEEE Transactions on Image Processing 8 (9), 1204-1220, 1999 | 125 | 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 | 120 | 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 | 104 | 2013 |
| 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 | 100 | 2004 |
| 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 | 95 | 2014 |
Raymond H. ChanVice President, City University of Hong KongVerified email at cityu.edu.hk
