Mila Nikolova

Mila Nikolova, Michael K. Ng, Chi-Pan Tam: On 퓁₁ Data Fitting and Concave Regularization for Image Recovery. SIAM J. Scientific Computing 35(1) (2013)

Raymond H. Chan, Mila Nikolova, You-Wei Wen: A Variational Approach for Exact Histogram Specification. SSVM 2011: 86-97

Mila Nikolova: Either Fit to Data Entries or Locally to Prior: The Minimizers of Objectives with Nonsmooth Nonconvex Data Fidelity and Regularization. SSVM 2011: 110-121

Mila Nikolova: Should We Search for a Global Minimizer of Least Squares Regularized with an ℓ0 Penalty to Get the Exact Solution of an under Determined Linear System? SSVM 2011: 508-519

Jian-Feng Cai, Raymond H. Chan, Mila Nikolova: Fast Two-Phase Image Deblurring Under Impulse Noise. Journal of Mathematical Imaging and Vision 36(1): 46-53 (2010)

Sylvain Durand, Jalal Fadili, Mila Nikolova: Multiplicative Noise Removal Using L1 Fidelity on Frame Coefficients. Journal of Mathematical Imaging and Vision 36(3): 201-226 (2010)

Mila Nikolova, Michael K. Ng, Chi-Pan Tam: Fast Nonconvex Nonsmooth Minimization Methods for Image Restoration and Reconstruction. IEEE Transactions on Image Processing 19(12): 3073-3088 (2010)

Mila Nikolova: Semi-explicit Solution and Fast Minimization Scheme for an Energy with l₁-Fitting and Tikhonov-Like Regularization. Journal of Mathematical Imaging and Vision 34(1): 32-47 (2009)

Mila Nikolova: One-iteration dejittering of digital video images. J. Visual Communication and Image Representation 20(4): 254-274 (2009)

Sylvain Durand, Jalal Fadili, Mila Nikolova: Multiplicative Noise Cleaning via a Variational Method Involving Curvelet Coefficients. SSVM 2009: 282-294

Mila Nikolova: Fast Dejittering for Digital Video Frames. SSVM 2009: 439-451

Mila Nikolova, Michael K. Ng, Shuqin Zhang, Wai-Ki Ching: Efficient Reconstruction of Piecewise Constant Images Using Nonsmooth Nonconvex Minimization. SIAM J. Imaging Sciences 1(1): 2-25 (2008)

Mila Nikolova, Raymond H. Chan: The Equivalence of Half-Quadratic Minimization and the Gradient Linearization Iteration. IEEE Transactions on Image Processing 16(6): 1623-1627 (2007)

Mila Nikolova: Counter-Examples for Bayesian MAP Restoration. SSVM 2007: 140-152

Mila Nikolova: Bounds on the Minimizers of (nonconvex) Regularized Least-Squares. SSVM 2007: 496-507

Mila Nikolova, Selim Esedoglu, Tony F. Chan: Algorithms for Finding Global Minimizers of Image Segmentation and Denoising Models. SIAM Journal of Applied Mathematics 66(5): 1632-1648 (2006)

Haoying Fu, Michael K. Ng, Mila Nikolova, Jesse L. Barlow: Efficient Minimization Methods of Mixed l2-l1 and l1-l1 Norms for Image Restoration. SIAM J. Scientific Computing 27(6): 1881-1902 (2006)

Florence Alberge, Mila Nikolova, Pierre Duhamel: Blind identification/equalization using deterministic maximum likelihood and a partial prior on the input. IEEE Transactions on Signal Processing 54(2): 724-737 (2006)

Mila Nikolova, Michael K. Ng: Analysis of Half-Quadratic Minimization Methods for Signal and Image Recovery. SIAM J. Scientific Computing 27(3): 937-966 (2005)

Raymond H. Chan, Chung-Wa Ho, Mila Nikolova: Salt-and-Pepper Noise Removal by Median-Type Noise Detectors and Detail-Preserving Regularization. IEEE Transactions on Image Processing 14(10): 1479-1485 (2005)

Haoying Fu, Michael K. Ng, Mila Nikolova, Jesse L. Barlow, Wai-Ki Ching: Fast Algorithms for l1 Norm/Mixed l1 and l2 Norms for Image Restoration. ICCSA (4) 2005: 843-851

Tony F. Chan, Selim Esedoglu, Mila Nikolova: Finding the global minimum for binary image restoration. ICIP (1) 2005: 121-124

Raymond H. Chan, Chung-Wa Ho, Chun-Yee Leung, Mila Nikolova: Minimization of detail-preserving regularization functional by Newton's method with continuation. ICIP (1) 2005: 125-128

Mila Nikolova: Restoration of edges by minimizing non-convex cost-functions. ICIP (2) 2005: 786-789

Ronald R. Peeters, Pierre Kornprobst, Mila Nikolova, Stefan Sunaert, Thierry Viéville, Grégoire Malandain, Rachid Deriche, Olivier D. Faugeras, Michael Ng, Paul Van Hecke: The use of super-resolution techniques to reduce slice thickness in functional MRI. Int. J. Imaging Systems and Technology 14(3): 131-138 (2004)

Mila Nikolova: A Variational Approach to Remove Outliers and Impulse Noise. Journal of Mathematical Imaging and Vision 20(1-2): 99-120 (2004)

Mila Nikolova: Weakly Constrained Minimization: Application to the Estimation of Images and Signals Involving Constant Regions. Journal of Mathematical Imaging and Vision 21(2): 155-175 (2004)

Elodie Roullot, Alain Herment, Isabelle Bloch, Alain De Cesare, Mila Nikolova, Élie Mousseaux: Modeling anisotropic undersampling of magnetic resonance angiographies and reconstruction of a high-resolution isotropic volume using half-quadratic regularization techniques. Signal Processing 84(4): 743-762 (2004)

Mila Nikolova: Minimization of Cost-Functions with Non-smooth Data-Fidelity Terms to Clean Impulsive Noise. EMMCVPR 2003: 391-406

Mila Nikolova: Efficient removing of impulsive noise based on an l/sub 1/-l/sub 2/ cost-function. ICIP (1) 2003: 121-124

Pierre Kornprobst, Ronald R. Peeters, Mila Nikolova, Rachid Deriche, Michael Ng, Paul Van Hecke: A Superresolution Framework for fMRI Sequences and Its Impact on Resulting Activation Maps. MICCAI (2) 2003: 117-125

Mila Nikolova: Minimizers of Cost-Functions Involving Nonsmooth Data-Fidelity Terms. Application to the Processing of Outliers. SIAM J. Numerical Analysis 40(3): 965-994 (2002)

Florence Alberge, Pierre Duhamel, Mila Nikolova: Adaptive solution for blind identification/equalization using deterministic maximum likelihood. IEEE Transactions on Signal Processing 50(4): 923-936 (2002)

Michael K. Ng, Mila Nikolova: Comparison of the main forms of half-quadratic regularization. ICIP (1) 2002: 349-352

Mila Nikolova: Smoothing of outliers in image restoration by minimizing regularized objective functions with nonsmooth data-fidelity terms. ICIP (1) 2001: 233-236

Mila Nikolova, Michael K. Ng: Fast image reconstruction algorithms combining half-quadratic regularization and preconditioning. ICIP (1) 2001: 277-280

Mila Nikolova: Local Strong Homogeneity of a Regularized Estimator. SIAM Journal of Applied Mathematics 61(2): 633-658 (2000)

Mila Nikolova: Thresholding implied by truncated quadratic regularization. IEEE Transactions on Signal Processing 48(12): 3437-3450 (2000)

Elodie Roullot, Alain Herment, Isabelle Bloch, Mila Nikolova, Élie Mousseaux: Regularized Reconstruction of 3D High-Resolution Magnetic Resonance Images from Acquisitions of Anisotropically Degraded Resolutions. ICPR 2000: 3350-3353

Mila Nikolova: Markovian reconstruction using a GNC approach. IEEE Transactions on Image Processing 8(9): 1204-1220 (1999)

Mila Nikolova: Locally Homogeneous Images As Minimizers of Objective Functions. ICIP (2) 1999: 11-15

Mila Nikolova: Error Indicators for Adaptive Refinement of Singularly Perturbed Convection-Diffusion Problems. LSSC 1999: 232-240

Mila Nikolova, Jérôme Idier, Ali Mohammad-Djafari: Inversion of large-support ill-posed linear operators using a piecewise Gaussian MRF. IEEE Transactions on Image Processing 7(4): 571-585 (1998)

Mila Nikolova: Estimation of Binary Images by Minimizing Convex Criteria. ICIP (2) 1998: 108-112

Mila Nikolova: Regularisation functions and estimators. ICIP (2) 1996: 457-460

Mila Nikolova: Markovian Reconstruction in Computed Imaging and Fourier Synthesis. ICIP (2) 1994: 690-694