◄homepage◄* Peer
Reviewed Proceedings Papers*

**[49]**** **P. Arias and M. Nikolova, “**Below the Surface of the Non-Local Bayesian
Image Denoising Method**”, *Scale-Space and Variational Methods in
Computer Vision 2017 (to appear) ***(pdf)**

**[48]**** **J. Fehrenbach, M. Nikolova,
G. Steidl, and P. Weiss, ”**Bilevel**** Image Denoising using
Gaussianity tests**”. *in** J.-F. Aujol, M. Nikolova, N. Papadakis (Eds.) : Scale-Space and Variational
Methods in Computer Vision. Lecture Notes in Computer Science 9087, Springer,
Berlin, 2015, pp. 117–128.** *

**[47] J**. H. Fitschen, M. Nikolova,
F. Pierre, and G. Steidl, ”**A Variational
Model for Color Assignment***”, in J.-F.
Aujol, M. Nikolova, N. Papadakis (Eds.) : Scale-Space and
Variational Methods in Computer Vision. Lecture Notes
in Computer Science 9087, Springer, Berlin, 2015, pp. 437–448.*

**[46] M**.
Nikolova, "**A fast algorithm for ****exact histogram specification. Simple
extension to colour images", Scale
Space and Variational Methods in Computer Vision, June 2013 (pdf).**

**[45] M**.
Nikolova,** "****Either fit to data
entries or to locally to prior: the minimizers of energies with nonsmooth nonconvex data fidelity and regularization ****", ***Scale Space and Variational Methods in Computer Vision*, June 2011.

**[44] M**.
Nikolova, **"****Should we search for a global minimizer of least squares regularized
with an ℓ _{0} penalty to get the exact solution of an under
determined linear system?**

** **

**[43] R**.
Chan, M. Nikolova and Y.-W. Wen**,**** "A variational approach
for exact histogram specification ", ***Scale Space and Variational
Methods in Computer Vision*, June 2011.

** **

**[42] M**.
Nikolova**,**** "Fast dejittering
for digital video images ", ***Scale Space and Variational Methods in Computer Vision*, Eds. X.-C. Tai, K. Morken, M. Lysaker, K.-A. Lie, LNCS 5567, Springer, pp. 439-451, 2009. * (pdf) *

**[41]**** **Durand S., J. Fadili and
M. Nikolova**,**** "Multiplicative noise
clearing via a variational method involving curvelet coefficients ", ***Scale Space and Variational Methods in Computer Vision*, Eds. X.-C. Tai, K. Morken, M. Lysaker, K.-A.
Lie, LNCS 5567, Springer, pp. 282-294,, 2009.* (pdf)*

**[40]**** **F. Malgouyres. and M. Nikolova**, "Average
performance of the sparsest approximation in a dictionary ", ***Int. Workshop
SPARS’09, April 2009. (pdf)*

**[39]**** **M. Nikolova,** "Bounds on the minimizers of (nonconvex) regularized
least-squares", ***Scale Space and Variational
Methods in Computer Vision*, Springer – Lecture notes in Computer science LNCS
4485, ed. F. Sgallary, A. Murli,
N. Paragios, 2007, pp. 496-507.

**[38]**** **M.
Nikolova,** "Counter-examples
for Bayesian MAP restoration"**, *Scale Space and Variational
Methods in Computer Vision*, Springer – Lecture notes in Computer science
LNCS 4485, ed. F. Sgallary, A. Murli,
N. Paragios, 2007, pp. 140-152.

**[37]**** **M.
Nikolova, **"Restoration of
edges by minimizing non-convex cost-functions"**, *IEEE Int. Conf. on Image
Processing (ICIP)*, vol. II, pp. 786-789, Sept. 2005.

**[36]**** **T
Chan T., S. Esedoglu and M. Nikolova**, "Finding the Global
Minimum for Binary Image Restoration"**, *IEEE Int. Conf. on Image
Processing* (ICIP), vol. I, pp. 121-124, Sept. 2005.

**[35]**** **R.
H. Chan, C. Ho, C.W. Leung and M. Nikolova**, "Minimization
of detail-preserving regularization functional by **** Newton’s method with continuation”**,

**[34]**** ****Fu H., M. Ng, M. Nikolova, J. L. Barlow, W.-K. Ching, "Fast algorithms for ℓ _{1} norm/mixed ℓ_{1}
and ℓ_{2} norms for image restoration”.**

**[32]**** **** **M.
Nikolova,** ``Minimization of cost-functions with
non-smooth data-fidelity terms to clean impulsive noise'', ***Int. workshop on
Energy Minimization Methods in Computer Vision and Pattern Recognition,* Lecture Notes in Computer
Science, Springer-Verlag, pp. 391-406, 2003.

**[31]**** ****Kornprobst****, P., R. Peeters, M. Nikolova, R. Deriche, M. Ng and P. Van Hecke.**** ``A super-resolution
framework for fMRI sequences and its impact on
resulting activation maps''**, *Medical Image Computing and Computer-Assisted
Intervention (MICCAI)*, LNCS 2879, pp. 117-127, 2003. (pdf)

**[30]**** **M.
Nikolova,** ``Efficient removing of impulsive noise based
on an ℓ_{1}-ℓ_{2} cost-function''**,

**[29]**** ****Deriche****, R., P. Kornprobst, M. Nikolova and
Michael Ng. ****``Half-quadratic regularization for MRI image restoration''**, *IEEE Int. Conf.
on Acoustics, Speech and Signal Processing (ICASSP)*, vol. VI, pp. 585-588,
2003.

**[28] **S. Zinger,
M. Nikolova, M. Roux and H. Maitre**, ****``Rééchantillonnage de données
3D laser aéroporté en milieu urbain''**, *Congrès
Vision par Ordinateeur ORASIS*, pp. 75-82, Mai
2003.

**[27]**** **M.
Nikolova** **and M. Ng**, ****``Comparison of the
main forms of half-quadratic regularization''**, *IEEE Int. Conf. on Image
Processing(ICIP),* vol. 1, pp. 349-352, Oct. 2002.

**[26]**** **S.
Zinger, M. Nikolova, M. Roux and H. Maitre**,**** ``3D resampling for airborne laser data of urban
areas''**,
*Proceedings of ISPRS*, vol. XXXIV, n. 3A, pp. 418-423, 2002.

**[25]**** **M.
Nikolova**. ****``Image restoration by minimizing
objective functions with non-smooth data-fidelity terms''**, *IEEE Int. Conf.
on Computer Vision / Workshop on Variational and
Level-Set Methods*, pp. 11-18, Jul. 2001.

**[24]**** **S.
Durand and M. Nikolova**, ****``Stability of image
restoration by minimizing regularized objective functions''**, *IEEE Int. Conf.
on Computer Vision / Workshop on Variational and
Level-Set Methods*, pp. 73-80, Jul. 2001.

**[23]**** **M.
Nikolova**,**** ``Smoothing of outliers in image
restoration by minimizing regularized objective functions with non-smooth
data-fidelity terms''**, *IEEE Int. Conf. on Image Processing (ICIP),*
vol. 1, pp. 233-236n Oct. 2001.

**[22] **M.
Nikolova** **and M. Ng,** ``Fast image reconstruction
algorithms combining half-quadratic regularization and preconditioning''**, *IEEE Int. Conf.
on Image Processing,* vol. 1, pp. 277-280, Oct. 2001.

**[21]**** **M. Nikolova** **and A.
Hero III**,**** ``Segmentation of a road from a vehicle-mounted imaging radar and
accuracy of the estimation''**, *Proc. of IEEE Intelligent Vehicles Symposium*,
pp. 284-289, Oct. 2000.

**[20]**** **F. Alberge, P. Duhamel and
M. Nikolova**,**** ``Low cost adaptive algorithm
for blind channel identification and symbol estimation''**, *EUSIPCO (Finland)*,
pp. 1549-1552, Sept. 2000. (pdf)

**[19] **F.
Roullot, A. Herment, I.
Bloch, M. Nikolova and E. Mousseaux**,**** ``Regularized
reconstruction of 3D high-resolution magnetic resonance images from
acquisitions of anisotropically degraded
resolutions''**, *15 ^{th} Int. *

**[18] **F. Roullot,
A. Herment, I. Bloch, M. Nikolova
and E. Mousseaux**,**** ``Reconstruction
regularise d’images de resonance
magnétique 3D de haute resolution à partir
d’acquisitions anisotropes''**, *RFIA
(Paris, France), *vol. II, pp. 59-68, 2000.

**[17]**** **M.
Nikolova**, ``Assumed and effective priors in Bayesian MAP
estimation''**, *IEEE Int. Conf. on Acoustics, Speech and Signal Processing(ICASSP)*,
Jun. 2000, vol. 1, pp. 305-308. (pdf)

**[16]**** **F. Alberge, M. Nikolova and P. Duhamel**, ****``Adaptive Deterministic Maximum
Likelihood using a quasi-discrete prior''**, *IEEE Int. Conf. on
Acoustics, Speech and Signal Processing (ICASSP)*, Jun. 2000.

**[15]**** **M.
Nikolova**,**** ``Locally homogeneous images as
minimizers of an objective function''**, *IEEE Int. Conf. on Image
Processing,* Oct. 1999, vol.2, pp. 11-15,** invited paper.**

**[14]**** **M. Nikolova**, ****``Local continuity and
thresholding using truncated quadratic regularization''**, *IEEE Workshop on
Higher Order Statistics,* pp. 277-280, June 1999.

**[13]**** **M. Nikolova** **and A.
Hero III**,**** ``Noisy word recognition using denoising and
moment matrix discriminants''**, *IEEE Workshop on Higher Order Statistics,*
June 1999.

**[12]**** **F. Alberge, P. Duhamel and
M. Nikolova**, ****``Blind identification /
equalization using deterministic maximum likelihood and a partial information
on the input''**, *IEEE Workshop on Sig. Proc. Advances in Wireless Communications,*
May 1999.

**[11]**** **M. Nikolova**,**** ``Estimation of
binary images using convex criteria''**, *Proc. of IEEE Int. Conf. on
Image Processing (ICIP),* Oct. 1998.** ****(pdf)**

**[10]**** **M. Nikolova and A. Hero
III,**
``Segmentation of road edges from a vehicle-mounted imaging radar'', ***Proc. of IEEE Stat.
Signal and Array Proc.*, Sept. 1998.** ****(pdf)**

**[9]**** **M. Nikolova**,**** ``Estimation of
signals containing strongly homogeneous zones''**, *Proc. of IEEE Stat. Signal
and Array Proc*., Sept. 1998.

**[8]**** **M. Nikolova,** ``Reconstruction of
locally homogeneous images''**, *European Signal Proc. Conf*., Sept. 1998.

**[7]**** **M. Nikolova,** ``Regularisation
functions and estimators''**, *Proc. of IEEE Int. Conf. on Image Processing
(ICIP)*, Nov. 1996, pp. 457-460.

**[6]**** **M. Nikolova,** ``Non convex
regularization and the recovery of edges''**, *Proc. IEEE Workshop on
Nonlinear Signal and Image ** Processing.*, Greece, June. 1995, pp. 1042-1045.

**[5]**** **M. Nikolova,** ``Parameter selection
for a Markovian signal reconstruction with edge detection'', ***Proc. IEEE Int. Conf. Acoust.** Speech Signal Process.,* ** ****(pdf)**

**[4]**** **M. Nikolova,** ``Markovian reconstruction
in computed imaging and Fourier synthesis''**, *IEEE Int. Conf. on Image
Processing (ICIP),* Nov. 1994, pp. 690-694.

**[3]**** **M. Nikolova** **and A.
Mohammad-Djafari**, ****``Discontinuity reconstruction
from linear attenuating operators using the weak-string model''**, *European Signal
Proc. Conf*. *(EUSIPCO)*, Sept. 1994, pp. 1062-1065. **(pdf)**

**[2]**** **M.
Nikolova, A. Mohammad-Djafari
and J. Idier**, ****``Inversion of large-support ill-conditionned linear operators using a Markov model with a line
process''**, *Proc. IEEE Int. . Acoust. Speech
Signal Process.* *(ICASSP)*,

**[1]**** **M.
Nikolova and A. Mohammad-Djafari**,
****``**Maximum
entropy image reconstruction in eddy current

tomography**''**, *pp. 273–278,
in Proc. of the 12th Int. MaxEntWorkshop, Maximum Entropy and Bayesian*

*Methods**, 1992.*