Lorina Dascal’s Homepage
Postdoc fellow at the Computer Science Department,
Taub Building, room 437, tel: 972-4-8294895
Ph.D. in Applied Mathematics,
“Maximum principle and well-posedness of partial differential equations (PDEs) based models in image processing”
Advisor: Dr. Nir Sochen
1. Maximum principle and stability properties for nonlinear second order partial differential equations in image processing.
2. Analysis of finite differences schemes for parabolic nonlinear equations.
3. Bregman distances and their applications in image processing and analysis.
4. Acceleration schemes.
5. Convex optimization
Papers in Journals
1. S. Kamin, L. Dascal, “Long time slow expansion of hot bubbles in gases”, Optimal Control and Partial Differential Equations, IOS Press 2000.
2. L. Dascal, N. Sochen, “A maximum principle for the Beltrami color flow”, SIAM Journal on Applied Mathematics, 65(5):1615-1632, 2005.
3. L. Dascal,
4. L. Dascal, A. Ditkowski, N. Sochen, “A study of the discrete maximum principle for the Beltrami color flow”, Journal
of Mathematical Imaging in Vision, Vol. 29(1), 63-77, 2007.
5. G. Rosman, L. Dascal, R. Kimmel, A. Sidi, “Efficient Beltrami color flow by extrapolation methods", submitted to IEEE Trans. in Image Processing, August 2007.
Papers in Conference Proceedings
1. L. Dascal, N. Sochen, “On the maximum principle of the Beltrami color flow’’, Proceedings of the 4th International Conference on Scale-Space Methods in Computer Vision, Isle of Skye, Scotland, 2003.
2. L. Dascal, G. Rosman, R. Kimmel, “Efficient Beltrami color flow by extrapolation methods’’, Proceedings of
Scale Space and Variational Methods Conference, June 2007.
L. Dascal, M. Zibulevsky and R. Kimmel, “Signal denoising by constraining the residual to be statistically noise similar”, CS Technion
Technical Report, January 2008.