Mila Nikolova

Publication Activity (10 Years)

Years Active: 1994-2020
Publications (10 Years): 13

Top Topics

Point Spread Function

Color Image Enhancement

Top Venues

J. Math. Imaging Vis.

SIAM J. Imaging Sci.

Publications

Raymond H. Chan, Kelvin K. Kan, Mila Nikolova, Robert J. Plemmons
A two-stage method for spectral-spatial classification of hyperspectral images. J. Math. Imaging Vis. 62 (6-7) (2020)
Rémi Gribonval, Mila Nikolova
A Characterization of Proximity Operators. J. Math. Imaging Vis. 62 (6-7) (2020)
Eric Barnhill, Mila Nikolova, Cemre Ariyurek, Florian Dittmann, Jürgen Braun, Ingolf Sack
Fast Robust Dejitter and Interslice Discontinuity Removal in MRI Phase Acquisitions: Application to Magnetic Resonance Elastography. IEEE Trans. Medical Imaging 38 (7) (2019)
Mila Nikolova, Pauline Tan
Alternating Structure-Adapted Proximal Gradient Descent for Nonconvex Nonsmooth Block-Regularized Problems. SIAM J. Optim. 29 (3) (2019)
Chao Wang, Raymond H. Chan, Mila Nikolova, Robert J. Plemmons, Sudhakar Prasad
Nonconvex Optimization for 3-Dimensional Point Source Localization Using a Rotating Point Spread Function. SIAM J. Imaging Sci. 12 (1) (2019)
Pauline Tan, Fabien Pierre, Mila Nikolova
Inertial Alternating Generalized Forward-Backward Splitting for Image Colorization. J. Math. Imaging Vis. 61 (5) (2019)
Kelvin C. K. Chan, Raymond H. Chan, Mila Nikolova
A Convex Model for Edge-Histogram Specification with Applications to Edge-Preserving Smoothing. Axioms 7 (3) (2018)
Chao Wang, Robert J. Plemmons, Sudhakar Prasad, Raymond H. Chan, Mila Nikolova
Novel Sparse Recovery Algorithms for 3D Debris Localization using Rotating Point Spread Function Imagery. CoRR (2018)
Xiaohao Cai, Raymond H. Chan, Mila Nikolova, Tieyong Zeng
A Three-Stage Approach for Segmenting Degraded Color Images: Smoothing, Lifting and Thresholding (SLaT). J. Sci. Comput. 72 (3) (2017)
Daniel-Chen Soncco, Clara Barbanson, Mila Nikolova, Andrés Almansa, Yann Ferrec
Fast and Accurate Multiplicative Decomposition for Fringe Removal in Interferometric Images. IEEE Trans. Computational Imaging 3 (2) (2017)
Friederike Laus, Mila Nikolova, Johannes Persch, Gabriele Steidl
A Nonlocal Denoising Algorithm for Manifold-Valued Images Using Second Order Statistics. SIAM J. Imaging Sci. 10 (1) (2017)
Pablo Arias, Mila Nikolova
Below the Surface of the Non-local Bayesian Image Denoising Method. SSVM (2017)
Jean-François Aujol, Mila Nikolova, Nicolas Papadakis
Guest Editorial: Scale-Space and Variational Methods. J. Math. Imaging Vis. 56 (2) (2016)
Jérôme Fehrenbach, Mila Nikolova, Gabriele Steidl, Pierre Weiss
Bilevel Image Denoising Using Gaussianity Tests. SSVM (2015)
Jan Henrik Fitschen, Mila Nikolova, Fabien Pierre, Gabriele Steidl
A Variational Model for Color Assignment. SSVM (2015)
Xiaohao Cai, Raymond H. Chan, Mila Nikolova, Tieyong Zeng
A Three-stage Approach for Segmenting Degraded Color Images: Smoothing, Lifting and Thresholding (SLaT). CoRR (2015)
Mila Nikolova, Gabriele Steidl
Fast Hue and Range Preserving Histogram Specification: Theory and New Algorithms for Color Image Enhancement. IEEE Trans. Image Process. 23 (9) (2014)
Mila Nikolova, Gabriele Steidl
Fast Ordering Algorithm for Exact Histogram Specification. IEEE Trans. Image Process. 23 (12) (2014)
F. Baus, Mila Nikolova, Gabriele Steidl
Fully Smoothed ℓ 1-TV Models: Bounds for the Minimizers and Parameter Choice. J. Math. Imaging Vis. 48 (2) (2014)
Mila Nikolova, You-Wei Wen, Raymond H. Chan
Exact Histogram Specification for Digital Images Using a Variational Approach. J. Math. Imaging Vis. 46 (3) (2013)
Mila Nikolova
A Fast Algorithm for Exact Histogram Specification. Simple Extension to Colour Images. SSVM (2013)
Mila Nikolova, Michael K. Ng, Chi-Pan Tam
Data Fitting and Concave Regularization for Image Recovery. SIAM J. Sci. Comput. 35 (1) (2013)
Mila Nikolova
-norm. Uniqueness of the Global Minimizer. SIAM J. Imaging Sci. 6 (2) (2013)
Raymond H. Chan, Mila Nikolova, You-Wei Wen
A Variational Approach for Exact Histogram Specification. SSVM (2011)
Mila Nikolova
Either Fit to Data Entries or Locally to Prior: The Minimizers of Objectives with Nonsmooth Nonconvex Data Fidelity and Regularization. SSVM (2011)
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)
Mila Nikolova, Michael K. Ng, Chi-Pan Tam
Fast Nonconvex Nonsmooth Minimization Methods for Image Restoration and Reconstruction. IEEE Trans. Image Process. 19 (12) (2010)
Sylvain Durand, Jalal Fadili, Mila Nikolova
Multiplicative Noise Removal Using L1 Fidelity on Frame Coefficients. J. Math. Imaging Vis. 36 (3) (2010)
Jian-Feng Cai, Raymond H. Chan, Mila Nikolova
Fast Two-Phase Image Deblurring Under Impulse Noise. J. Math. Imaging Vis. 36 (1) (2010)
Mila Nikolova
One-iteration dejittering of digital video images. J. Vis. Commun. Image Represent. 20 (4) (2009)
Mila Nikolova
-Fitting and Tikhonov-Like Regularization. J. Math. Imaging Vis. 34 (1) (2009)
Sylvain Durand, Jalal Fadili, Mila Nikolova
Multiplicative Noise Cleaning via a Variational Method Involving Curvelet Coefficients. SSVM (2009)
Mila Nikolova
Fast Dejittering for Digital Video Frames. SSVM (2009)
Mila Nikolova, Michael K. Ng, Shuqin Zhang, Wai-Ki Ching
Efficient Reconstruction of Piecewise Constant Images Using Nonsmooth Nonconvex Minimization. SIAM J. Imaging Sci. 1 (1) (2008)
Mila Nikolova, Raymond H. Chan
The Equivalence of Half-Quadratic Minimization and the Gradient Linearization Iteration. IEEE Trans. Image Process. 16 (6) (2007)
Mila Nikolova
Bounds on the Minimizers of (nonconvex) Regularized Least-Squares. SSVM (2007)
Mila Nikolova
Counter-Examples for Bayesian MAP Restoration. SSVM (2007)
Sylvain Durand, Mila Nikolova
Data-Fidelity Term and Edge-Preserving Regularization. Multiscale Model. Simul. 6 (2) (2007)
Tony F. Chan, Selim Esedoglu, Mila Nikolova
Algorithms for Finding Global Minimizers of Image Segmentation and Denoising Models. SIAM J. Appl. Math. 66 (5) (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. Sci. Comput. 27 (6) (2006)
Florence Alberge, Mila Nikolova, Pierre Duhamel
Blind identification/equalization using deterministic maximum likelihood and a partial prior on the input. IEEE Trans. Signal Process. 54 (2) (2006)
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)
Mila Nikolova
Restoration of edges by minimizing non-convex cost-functions. ICIP (2) (2005)
Raymond H. Chan, Chung-Wa Ho, Mila Nikolova
Salt-and-Pepper Noise Removal by Median-Type Noise Detectors and Detail-Preserving Regularization. IEEE Trans. Image Process. 14 (10) (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)
Mila Nikolova, Michael K. Ng
Analysis of Half-Quadratic Minimization Methods for Signal and Image Recovery. SIAM J. Sci. Comput. 27 (3) (2005)
Mila Nikolova
Analysis of the Recovery of Edges in Images and Signals by Minimizing Nonconvex Regularized Least-Squares. Multiscale Model. Simul. 4 (3) (2005)
Tony F. Chan, Selim Esedoglu, Mila Nikolova
Finding the global minimum for binary image restoration. ICIP (1) (2005)
Mila Nikolova
Weakly Constrained Minimization: Application to the Estimation of Images and Signals Involving Constant Regions. J. Math. Imaging Vis. 21 (2) (2004)
Raymond H. Chan, Chen Hu, Mila Nikolova
An iterative procedure for removing random-valued impulse noise. IEEE Signal Process. Lett. 11 (12) (2004)
Mila Nikolova
A Variational Approach to Remove Outliers and Impulse Noise. J. Math. Imaging Vis. 20 (1-2) (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 Process. 84 (4) (2004)
Ronald R. Peeters, Pierre Kornprobst, Mila Nikolova, Stefan Sunaert, Thierry Viéville, Grégoire Malandain, Rachid Deriche, Olivier D. Faugeras, Michael K. P. Ng, Paul Van Hecke
The use of super-resolution techniques to reduce slice thickness in functional MRI. Int. J. Imaging Syst. Technol. 14 (3) (2004)
Mila Nikolova
Minimization of Cost-Functions with Non-smooth Data-Fidelity Terms to Clean Impulsive Noise. EMMCVPR (2003)
Pierre Kornprobst, Ronald R. Peeters, Mila Nikolova, Rachid Deriche, Michael Kwok-Po Ng, Paul Van Hecke
A Superresolution Framework for fMRI Sequences and Its Impact on Resulting Activation Maps. MICCAI (2) (2003)
Mila Nikolova
cost-function. ICIP (1) (2003)
Rachid Deriche, Pierre Kornprobst, Mila Nikolova
Half-quadratic regularization for MRI image restoration. ICASSP (6) (2003)
Florence Alberge, Pierre Duhamel, Mila Nikolova
Adaptive solution for blind identification/equalization using deterministic maximum likelihood. IEEE Trans. Signal Process. 50 (4) (2002)
Mila Nikolova
Minimizers of Cost-Functions Involving Nonsmooth Data-Fidelity Terms. Application to the Processing of Outliers. SIAM J. Numer. Anal. 40 (3) (2002)
Michael K. Ng, Mila Nikolova
Comparison of the main forms of half-quadratic regularization. ICIP (1) (2002)
Mila Nikolova
Smoothing of outliers in image restoration by minimizing regularized objective functions with nonsmooth data-fidelity terms. ICIP (1) (2001)
Mila Nikolova, Michael K. Ng
Fast image reconstruction algorithms combining half-quadratic regularization and preconditioning. ICIP (1) (2001)
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)
Mila Nikolova
Local Strong Homogeneity of a Regularized Estimator. SIAM J. Appl. Math. 61 (2) (2000)
Florence Alberge, Mila Nikolova, Pierre Duhamel
Adaptive deterministic maximum likelihood using a quasi-discrete prior. ICASSP (2000)
Mila Nikolova
Thresholding implied by truncated quadratic regularization. IEEE Trans. Signal Process. 48 (12) (2000)
Florence Alberge, Pierre Duhamel, Mila Nikolova
Low cost adaptive algorithm for blind channel identification and symbol estimation. EUSIPCO (2000)
Mila Nikolova
Assumed and effective priors in Bayesian MAP estimation. ICASSP (2000)
Mila Nikolova
Locally Homogeneous Images As Minimizers of Objective Functions. ICIP (2) (1999)
Mila Nikolova
Error Indicators for Adaptive Refinement of Singularly Perturbed Convection-Diffusion Problems. LSSC (1999)
Mila Nikolova
Markovian reconstruction using a GNC approach. IEEE Trans. Image Process. 8 (9) (1999)
Mila Nikolova
Estimation of Binary Images by Minimizing Convex Criteria. ICIP (2) (1998)
Mila Nikolova
Reconstruction of locally homogeneous images. EUSIPCO (1998)
Mila Nikolova, Jérôme Idier, Ali Mohammad-Djafari
Inversion of large-support ill-posed linear operators using a piecewise Gaussian MRF. IEEE Trans. Image Process. 7 (4) (1998)
Mila Nikolova, Ali Mohammad-Djafari
Eddy current tomography using a binary Markov model. Signal Process. 49 (2) (1996)
Mila Nikolova
Regularisation functions and estimators. ICIP (2) (1996)
Mila Nikolova
Parameter selection for a Markovian signal reconstruction with edge detection. ICASSP (1995)
Mila Nikolova, Ali Mohammad-Djafari, Jérôme Idier
Inversion of large-support ill-conditioned linear operators using a Markov model with a line process. ICASSP (5) (1994)
Mila Nikolova
Markovian Reconstruction in Computed Imaging and Fourier Synthesis. ICIP (2) (1994)