Leah Bar's publications
Publications
Journal Papers
D. Morozov, L. Bar, N. Sochen and Y. Cohen, "Measuring Small Compartments with Relatively Weak Gradients by Angular Double-Pulsed-Field-Gradient NMR", accepted to Magnetic Resonance Imaging, 2012.
N. Shemesh, D. Barazani, O. Sadan, L. Bar, Y. Zur, Y. Barhum, N. Sochen, D. Offen, Y. Assaf and Y. Cohen, "Mapping Apparent Eccentricity and Residual Orientation in the Gray Matter Using Angular Double-PFG MRI", Magnetic Resonance in Medicine, Vol. 68 pp. 794-806, 2012.
B. Wirth, L. Bar, M. Rumpf and G. Sapiro, "A Continuum Mechanical Approach to Geodesics in
Shape Space" , International Journal of Computer Vision (IJCV), Vol. 93 (3), pp. 293-318, 2011.
L. Bar and G. Sapiro, "Generalized Newton-Type Methods for Energy Formulations in Image Processing", SIAM Journal on Imaging Sciences, Vol. 2 (2), pp. 508-531, 2009
L. Bar, N. Sochen and N. Kiryati, "Convergence of an Iterarive Method for Variational
Deconvolution and Impulsive Noise Removal", SIAM Journal on Multiscale Modeling and Simulation, Vol. 6, pp. 983-994, 2007.
L. Bar, A. Brook, N. Sochen and N. Kiryati,
“Deblurring of Color Images Corrupted by Impulsive Noise”,
IEEE Trans. on Image Processing, Vol. 16(4), pp. 1101-1111, 2007.
L. Bar, N. Sochen and N. Kiryati,
“Image Deblurring in the Presence of
Impulsive Noise”, International Journal of Computer Vision, Vol. 70(3), pp. 279-298, 2006.
L. Bar, N. Sochen and N. Kiryati,
“Semi-Blind Image Restoration via Mumford-Shah
Regularization”, IEEE Trans. on Image Processing, Vol. 15(2), pp. 483-493, 2006.
H. Ring, L. Bar and S. Abboud, "Functional Correlates
with Left-Right Asymmetry of VEPs in Stroke Patients - Modeling and
Experimental Results", Archives of Physical Medicine and Rehabilitation. 80:
166-172, 1999.
S. Abboud, L. Bar, M. Rosenfeld, H. Haim, I. Glass,
"Left-Right Asymmetry of Visual Evoked Potentials in Brain Damaged Patients - A
Mathematical Model and Experimental Results", Annals of Biomedical Engineering,
24(1): 75-86, 1996.
Book Chapters
"Mumford and Shah Model and its Applications in Total Variation Image Restoration",
in: Handbook of Mathematical Methods in Imaging, O. Scherzer (Ed.), Springer 2011.
Peer Review Proceedings
L.Bar and G. Sapiro,
" Hierarchical Invariant Sparse Modeling for Image Analysis",
Proc. International Conference on Image Processing (ICIP'11), Brussels, 2011.
N. Sochen and L. Bar,
" The Beltrami-Mumford-Shah functional",
International Conference on on Scale Space and Variational Methods in Computer Vision (SSVM’11) , Israel, 2011.
L. Bar and G. Sapiro,
"Hierarchical Dictionary Learning for
Invariant Classification",
IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP'10), Dallas, 2010.
B. Wirth, L. Bar, M. Rumpf and G. Sapiro,
"Geodesics in Shape Space via Variational Time Discretization",
EMMCVPR '09, Germany, August 2009.
L. Bar and G. Sapiro,
"Generalized Newton Methods for Energy Formulations in Image Processing",
Proc. International Conference on Image Processing (ICIP '08), San Diego, October 2008.
L. Bar, B. Berkels, G. Sapiro and M. Rumpf,
"A Variational Framework for Simultaneous motion Estimation and Restoration of Motion-Blurred Video",
Proc. International Conference on Computer Vision (ICCV’07), Brazil, October 2007.
L. Bar, N. Sochen and N. Kiryati,
"Restoration of Images with Piecewise Space-Variant Blur",
Proc. First International Conference on Scale Space and Variational Methods in Computer Vision (SSVM’07), Italy, May/June 2007, LNCS 4485, pp. 533-544.
L. Bar, A. Brook, N. Sochen and N. Kiryati,
"Color Image Deblurring with
Impulsive Noise", Geometric and Level Sets Methods in Computer Vision (VLSM’05),
China, October 2005, LNCS 3752, pp.49-60.
L. Bar, N. Sochen and N. Kiryati,
"Image Deblurring in the Presence of Salt-and-Pepper
Noise", Proc. International Conference on Scale-Space and PDE methods
in Computer Vision, Hofgeismar, Germany, April 2005, LNCS 3459, pp. 107-118.
*Best student paper award
L. Bar, N. Sochen and N. Kiryati,
"Variational
Pairing of Image Segmentation and Blind Restoration" , Proc. 8th European
Conference on Computer Vision (ECCV'2004), Prague, Czech Republic, May 2004
LNCS 3022, pp. 166-177.