2:45 PM-3:30 PM
Room: Capitol Center/South
Chair: Michael L. Overton, Courant Institute of Mathematical Sciences, New York University
Image processing is a new area of applied mathematics which has roots in approximation theory, harmonic analysis, PDE, stochastic processes and statistics. This lecture concentrates on sparse image representations for simple and efficient post-processing. Such representations can be constructed for bounded variation images with wavelet orthonormal bases. The speaker will present applications for compression, noise removal, and image deconvolutions, and discuss taking advantage of geometrical regularity and deformations.
Courant Institute of Mathematical Sciences, New York University
and Ecole Polytechnique, Paris, France