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Inverse Problems       

Journal Articles

[27] Nikolova M., M. Ng, S. Zhang and W-K. Ching, "Efficient reconstruction of piecewise constant images using nonsmooth nonconvex minimization", SIAM Journal on Imaging Sciences, vol. 1, n. 1, Mar. 2008, pp. 2-25. (pdf)

[25] Nikolova M., ''Model distortions in Bayesian MAP reconstruction'', AIMS Journal on Inverse Problems and Imaging, vol. 1, N. 2, 2007, pp. 399-422 (pdf)

 [21] Durand S. and Nikolova M. ``Stability of the Minimizers of Least Squares with a Non-Convex Regularization. Part I: Local Behavior'', Journal of Applied Mathematics and Optimization, Vol. 53, n. 2, March 2006, pp. 185-208. (pdf)

[20] Durand S. and Nikolova M. ``Stability of the Minimizers of Least Squares with a Non-Convex Regularization. Part II: Global Behavior'', Journal of Applied Mathematics and Optimization, Vol. 53, n. 3, May 2006, pp. 259-277. (pdf)

[19] Haoying Fu H., M. Ng, M. Nikolova and J. Barlow, "Efficient minimization methods of mixed ℓ1 - ℓ1 and ℓ2 - ℓ1 norms for image restoration", SIAM Journal on Scientific computing, Vol. 27, No 6, 2006, pp 1881-1902.  (pdf)

[18] Alberge F., M. Nikolova and P. Duhamel, "Blind Identification / Equalization using Deterministic Maximum Likelihood and a partial prior on the input'', IEEE Trans. on Signal Processing, Vol. 54, Issue 2, Feb. 2006, pp. 724- 737. (pdf)

[15] Nikolova M., ''Analysis of the recovery of edges in images and signals by minimizing nonconvex regularized least-squares'', SIAM Journal on Multiscale Modeling and Simulation, vol. 4, N. 3, 2005, pp. 960-991  (pdf)

[12] R. Peeters, P. Kornprobst, M. Nikolova, S. Sunaert, T. Vieville, G. Malandain, R. Deriche, O. Fougeras, M. Ng and P. Hecke,  "The use of superresolution techniques to reduce slice thickness in functional MRI'', International Journal of Imaging Systems and Technology, Vol. 14, No. 3, 2004.

[10] Nikolova M., ''Weakly constrained minimization. Application to the estimation of images and signals involving constant regions'', Journal of Mathematical Imaging and Vision,  no. 2, vol. 21, Sep. 2004, pp. 155-175. (pdf)

[9] Roullot E., A. Herment, I. Bloch, A. Cesare, M. Nikolova and E. Mousseaux, "Modeling anisotropic undersampling of magnetic resonance angiographies and reconstruction of a high-resolution isotropic volume using half-quadratic regularization techniques'', Signal Processing, vol. 84,  2004, pp. 743-762. (pdf)

[8] Nikolova M., ''Minimizers of cost-functions involving non-smooth data-fidelity terms. Application to the processing of outliers'', SIAM Journal on Numerical Analysis vol. 40, no. 3, 2002, pp. 965-994. (pdf)

[7] Alberge F., P. Duhamel and M. Nikolova, "Adaptive solution for blind identification / equalization using deterministic maximum likelihood'',  IEEE Trans. on Signal Processing, vol. 50, no 4, April 2002, pp. 923-936. (pdf)

[6] Nikolova M., ''Local strong homogeneity of a regularized estimator'', SIAM Journal on Applied Mathematics, vol. 61, no. 2, pp. 633-658, 2000. (pdf)

[5] Nikolova M., ''Thresholding implied by truncated quadratic regularization'', IEEE Trans. on Signal Processing, vol. 48, Dec. 2000, pp. 3437-3450.(pdf)

[4] Nikolova M., "Markovian reconstruction using a GNC approach'', IEEE Trans. on Image Processing , vol. 8, no. 9, Sept. 1999, pp. 1204-1220. (pdf)

[3] Nikolova M., Idier J. and Mohammad-Djafari A., "Inversion of large-support ill-posed linear operators using a piecewise Gaussian MRF'', IEEE Trans. On Image Processing, vol. 8, no. 4, pp. 571-585, April 1998. (pdf)

[1] Nikolova M. and A. Mohammad-Djafari, "Eddy Current Tomography Using a Markov model'', Signal Processing, vol. 49, no. 2, 1996. (ps)