Mila Nikolova

Affiliations:
  • ENS Cachan, Paris, France


According to our database1, Mila Nikolova authored at least 79 papers between 1994 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
A Characterization of Proximity Operators.
J. Math. Imaging Vis., 2020

A two-stage method for spectral-spatial classification of hyperspectral images.
J. Math. Imaging Vis., 2020

2019
Fast Robust Dejitter and Interslice Discontinuity Removal in MRI Phase Acquisitions: Application to Magnetic Resonance Elastography.
IEEE Trans. Medical Imaging, 2019

Alternating Structure-Adapted Proximal Gradient Descent for Nonconvex Nonsmooth Block-Regularized Problems.
SIAM J. Optim., 2019

Nonconvex Optimization for 3-Dimensional Point Source Localization Using a Rotating Point Spread Function.
SIAM J. Imaging Sci., 2019

Inertial Alternating Generalized Forward-Backward Splitting for Image Colorization.
J. Math. Imaging Vis., 2019

2018
Novel Sparse Recovery Algorithms for 3D Debris Localization using Rotating Point Spread Function Imagery.
CoRR, 2018

A Convex Model for Edge-Histogram Specification with Applications to Edge-Preserving Smoothing.
Axioms, 2018

2017
Fast and Accurate Multiplicative Decomposition for Fringe Removal in Interferometric Images.
IEEE Trans. Computational Imaging, 2017

A Nonlocal Denoising Algorithm for Manifold-Valued Images Using Second Order Statistics.
SIAM J. Imaging Sci., 2017

A Three-Stage Approach for Segmenting Degraded Color Images: Smoothing, Lifting and Thresholding (SLaT).
J. Sci. Comput., 2017

Below the Surface of the Non-local Bayesian Image Denoising Method.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

2016
Guest Editorial: Scale-Space and Variational Methods.
J. Math. Imaging Vis., 2016

2015
Energy Minimization Methods.
Proceedings of the Handbook of Mathematical Methods in Imaging, 2015

A Variational Model for Color Assignment.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

Bilevel Image Denoising Using Gaussianity Tests.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

2014
Fast Ordering Algorithm for Exact Histogram Specification.
IEEE Trans. Image Process., 2014

Fast Hue and Range Preserving Histogram Specification: Theory and New Algorithms for Color Image Enhancement.
IEEE Trans. Image Process., 2014

Fully Smoothed ℓ 1-TV Models: Bounds for the Minimizers and Parameter Choice.
J. Math. Imaging Vis., 2014

2013
On 퓁<sub>1</sub> Data Fitting and Concave Regularization for Image Recovery.
SIAM J. Sci. Comput., 2013

Description of the Minimizers of Least Squares Regularized with 퓁<sub>0</sub>-norm. Uniqueness of the Global Minimizer.
SIAM J. Imaging Sci., 2013

Exact Histogram Specification for Digital Images Using a Variational Approach.
J. Math. Imaging Vis., 2013

A Fast Algorithm for Exact Histogram Specification. Simple Extension to Colour Images.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

2011
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?
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Either Fit to Data Entries or Locally to Prior: The Minimizers of Objectives with Nonsmooth Nonconvex Data Fidelity and Regularization.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

A Variational Approach for Exact Histogram Specification.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

2010
Fast Nonconvex Nonsmooth Minimization Methods for Image Restoration and Reconstruction.
IEEE Trans. Image Process., 2010

Multiplicative Noise Removal Using L1 Fidelity on Frame Coefficients.
J. Math. Imaging Vis., 2010

Fast Two-Phase Image Deblurring Under Impulse Noise.
J. Math. Imaging Vis., 2010

2009
One-iteration dejittering of digital video images.
J. Vis. Commun. Image Represent., 2009

Semi-explicit Solution and Fast Minimization Scheme for an Energy with <i><i>l</i></i><sub>1</sub>-Fitting and Tikhonov-Like Regularization.
J. Math. Imaging Vis., 2009

Fast Dejittering for Digital Video Frames.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

Multiplicative Noise Cleaning via a Variational Method Involving Curvelet Coefficients.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

2008
Efficient Reconstruction of Piecewise Constant Images Using Nonsmooth Nonconvex Minimization.
SIAM J. Imaging Sci., 2008

2007
The Equivalence of Half-Quadratic Minimization and the Gradient Linearization Iteration.
IEEE Trans. Image Process., 2007

Denoising of Frame Coefficients Using ℓ<sup>1</sup> Data-Fidelity Term and Edge-Preserving Regularization.
Multiscale Model. Simul., 2007

Bounds on the Minimizers of (nonconvex) Regularized Least-Squares.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

Counter-Examples for Bayesian MAP Restoration.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

2006
Blind identification/equalization using deterministic maximum likelihood and a partial prior on the input.
IEEE Trans. Signal Process., 2006

Efficient Minimization Methods of Mixed l2-l1 and l1-l1 Norms for Image Restoration.
SIAM J. Sci. Comput., 2006

Algorithms for Finding Global Minimizers of Image Segmentation and Denoising Models.
SIAM J. Appl. Math., 2006

2005
Salt-and-Pepper Noise Removal by Median-Type Noise Detectors and Detail-Preserving Regularization.
IEEE Trans. Image Process., 2005

Analysis of Half-Quadratic Minimization Methods for Signal and Image Recovery.
SIAM J. Sci. Comput., 2005

Analysis of the Recovery of Edges in Images and Signals by Minimizing Nonconvex Regularized Least-Squares.
Multiscale Model. Simul., 2005

Restoration of edges by minimizing non-convex cost-functions.
Proceedings of the 2005 International Conference on Image Processing, 2005

Minimization of detail-preserving regularization functional by Newton's method with continuation.
Proceedings of the 2005 International Conference on Image Processing, 2005

Finding the global minimum for binary image restoration.
Proceedings of the 2005 International Conference on Image Processing, 2005

Fast Algorithms for l1 Norm/Mixed l1 and l2 Norms for Image Restoration.
Proceedings of the Computational Science and Its Applications, 2005

2004
An iterative procedure for removing random-valued impulse noise.
IEEE Signal Process. Lett., 2004

Modeling anisotropic undersampling of magnetic resonance angiographies and reconstruction of a high-resolution isotropic volume using half-quadratic regularization techniques.
Signal Process., 2004

A Variational Approach to Remove Outliers and Impulse Noise.
J. Math. Imaging Vis., 2004

Weakly Constrained Minimization: Application to the Estimation of Images and Signals Involving Constant Regions.
J. Math. Imaging Vis., 2004

The use of super-resolution techniques to reduce slice thickness in functional MRI.
Int. J. Imaging Syst. Technol., 2004

2003
A Superresolution Framework for fMRI Sequences and Its Impact on Resulting Activation Maps.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003

Efficient removing of impulsive noise based on an l<sub>1</sub>-l<sub>2</sub> cost-function.
Proceedings of the 2003 International Conference on Image Processing, 2003

Half-quadratic regularization for MRI image restoration.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Minimization of Cost-Functions with Non-smooth Data-Fidelity Terms to Clean Impulsive Noise.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003

2002
Adaptive solution for blind identification/equalization using deterministic maximum likelihood.
IEEE Trans. Signal Process., 2002

Minimizers of Cost-Functions Involving Nonsmooth Data-Fidelity Terms. Application to the Processing of Outliers.
SIAM J. Numer. Anal., 2002

Comparison of the main forms of half-quadratic regularization.
Proceedings of the 2002 International Conference on Image Processing, 2002

2001
Fast image reconstruction algorithms combining half-quadratic regularization and preconditioning.
Proceedings of the 2001 International Conference on Image Processing, 2001

Smoothing of outliers in image restoration by minimizing regularized objective functions with nonsmooth data-fidelity terms.
Proceedings of the 2001 International Conference on Image Processing, 2001

2000
Thresholding implied by truncated quadratic regularization.
IEEE Trans. Signal Process., 2000

Local Strong Homogeneity of a Regularized Estimator.
SIAM J. Appl. Math., 2000

Regularized Reconstruction of 3D High-Resolution Magnetic Resonance Images from Acquisitions of Anisotropically Degraded Resolutions.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Assumed and effective priors in Bayesian MAP estimation.
Proceedings of the IEEE International Conference on Acoustics, 2000

Adaptive deterministic maximum likelihood using a quasi-discrete prior.
Proceedings of the IEEE International Conference on Acoustics, 2000

Low cost adaptive algorithm for blind channel identification and symbol estimation.
Proceedings of the 10th European Signal Processing Conference, 2000

1999
Markovian reconstruction using a GNC approach.
IEEE Trans. Image Process., 1999

Error Indicators for Adaptive Refinement of Singularly Perturbed Convection-Diffusion Problems.
Proceedings of the Large-Scale Scientific Computation for Engineering and Environmental Problems, 1999

Locally Homogeneous Images As Minimizers of Objective Functions.
Proceedings of the 1999 International Conference on Image Processing, 1999

1998
Inversion of large-support ill-posed linear operators using a piecewise Gaussian MRF.
IEEE Trans. Image Process., 1998

Estimation of Binary Images by Minimizing Convex Criteria.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

Reconstruction of locally homogeneous images.
Proceedings of the 9th European Signal Processing Conference, 1998

1996
Eddy current tomography using a binary Markov model.
Signal Process., 1996

Regularisation functions and estimators.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

1995
Parameter selection for a Markovian signal reconstruction with edge detection.
Proceedings of the 1995 International Conference on Acoustics, 1995

1994
Markovian Reconstruction in Computed Imaging and Fourier Synthesis.
Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994

Inversion of large-support ill-conditioned linear operators using a Markov model with a line process.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994


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