MS-Th-D-46
Inverse Problems for Image Reconstruction and Processing - Part IV of IV
For Part I, see MS-We-D-46
For Part II, see MS-We-E-46
For Part III, see MS-Th-BC-46

Date: August 13
Time: 13:30--15:30
Room: 306B

(Note: Click title to show the abstract.)

Organizer:
Wei, Suhua (Inst. of Applied Physics & Computational Mathematics)
Nikolova, Mila (CMLA, CNRS - ENS Cachan)
Tai, Xue-Cheng (Department of Mathematics, Univ. of Bergen)
Shi, Yuying (North China Electric Power Univ.)

Abstract: Many image reconstruction tasks amount to solve ill-posed inverse problems. Indeed, measurement devices typically cannot record all the information needed to recover the sought-after object; furthermore, the operators that model these devices are seldom accurate and data are corrupted by various perturbations. A common approach to find an approximate to the unknown object is regularization. The key points are the correct choices of the data fidelity term and the regularization term, as well as the trade-off between these terms. This is a challenging problem since the optimal solutions of the whole functional should correctly reflect the knowledge on the data-production process and the priors on the unknown object. The optimal solutions usually cannot be computed explicitly and iterative schemes are used.
This symposium focus on imaging inverse problemsí» mathematical models, numerical algorithms, theoretical analysis and various applications, especially, applied to CT reconstruction and some processing techniques for images.


MS-Th-D-46-1
13:30--14:00
A PDE-free variational model for multiphase image segmentation
Julia, Dobrosotskaya (Case Western Reserve Univ.)
Guo, Weihong (Case Western Reserve Univ.)


MS-Th-D-46-2
14:00--14:30
CT metal artifacts reduction by an iterative algorithm based on inpainting
Lee, Chang-Ock (KAIST)
Jeon, Soomin (KAIST)


MS-Th-D-46-3
14:30--15:00
Meteorological Objects Tracking with Modified Region Scalable Fitting Model and Parallel Computation
Murong, Jiang (School of Information Sci. & Engineering, Yunnan Univ.)


MS-Th-D-46-4
15:00--15:30
Limitations of splitting methods for total variation-based image reconstruction
Hintermueller, Michael (Humboldt-Univ. of Berlin)

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Footnote:
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