Regularization of Inverse Problems in Imaging Sciences: Theoretical and Numerical Aspects - Part II of II
For Part I, see MS-Tu-D-48

Date: August 11
Time: 16:00--18:00
Room: 212B

(Note: Click title to show the abstract.)

Fadili, Jalal (CNRS & ENSICaen)
Peyre, Gabriel (CNRS & Universite Paris-Dauphine)
Zhang, Xiaoqun (Shanghai Jiao Tong Univ.)

Abstract: Inverse problems have become a central theme in various fields of sciences and engineering such as imaging sciences. This field draws from various mathematical disciplines including linear algebra, differential geometry, harmonic analysis, functional analysis, mathematical physics, numerical analysis, optimization, PDE¡¯s, stochastic and statistical methods. The fields of application encompass medical and astronomical imaging, radar, optics, etc. The goal of the mini-symposium is to present recent theoretical, numerical and applicative advances in these fields. It will focus on ill-posed inverse problems, variational regularization theory, recovery guarantees, and numerical algorithms to solve the corresponding optimization problems.

Methods for parameter adaptation in image restoration
Grasmair, Markus (NTNU)

On sparse regularization and deterministic sampling in inverse problems
Adcock, Ben (Simon Fraser Univ.)

Sparse Image Modeling and Blind De-convolution
Hui, Ji (National Univ. of Singapore)


Code: Type-Date-Time-Room No.
Type : IL=Invited Lecture, SL=Special Lectures, MS=Minisymposia, IM=Industrial Minisymposia, CP=Contributed Papers, PP=Posters
Date: Mo=Monday, Tu=Tuesday, We=Wednesday, Th=Thursday, Fr=Friday
Time : A=8:30-9:30, B=10:00-11:00, C=11:10-12:10, BC=10:00-12:10, D=13:30-15:30, E=16:00-18:00, F=19:00-20:00, G=12:10-13:30, H=15:30-16:00
Room No.: TBA