◄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. Lecture Notes in Computer Science10302,
Springer, 2017, pp. 208--220 ***(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.*