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Auditorium, Young Library University of Kentucky Lexington, Kentucky |
| Organizers | Workshop Motivation | |
| Schedule/Abstracts | Participants | Travel Support |
| Transportation & Lodging | Workshop Supporters | |
| Seongjai Kim (chair) skim@ms.uky.edu |
Mathematics | University of Kentucky |
|---|---|---|
| Peter Hislop hislop@ms.uky.edu |
Mathematics | University of Kentucky |
| SungHa Kang skang@ms.uky.edu |
Mathematics | University of Kentucky |
| Daniel L. Lau dllau@engr.uky.edu |
EE | University of Kentucky |
| Brent Seales seales@dcs.uky.edu |
CS | University of Kentucky |
Researches in image processing have been extremely active for the last decade and resulted in lots of promising new techniques incorporating wavelet processing, total-variation minimization, anisotropic diffusion, Gaussian filtering, level set methods, and pattern recognition. Many of these new techniques have been successfully adopted in various branches of science, industrial production, and security systems, along with the advent of modern high-performance computers.
Since most objects in image processing of practical interests are computationally intensive, researchers in image processing are constantly searching for more efficient mathematical models and computational algorithms. However, new methods are yet to be developed for practical applications; for example, there is no robust edge-preserving noise removal algorithm, although lots of mathematical models have been already developed in the area from long time ago. It has been generally recognized that mathematical models may not be successfully applied without having fully considered computational methods and engineering requirements. A workshop particularly focusing on computational methods and engineering requirements is timely and important. It will certainly help engineers capture a deeper understanding of computational mathematics and also help mathematicians consider more realistic problems.
This workshop will bring together researchers (mathematical analysts, computational mathematicians, and engineers) of national and international stature in image processing. It will focus on computational issues in noise removal, feature detection, and image repair. It will be a great chance for people from various disciplines to share new ideas and initiate new research projects. The objectives of the workshop are
| Tony Chan | Mathematics | UCLA |
|---|---|---|
| Yunmei Chen | Mathematics | U of Florida |
| Kevin D. Donohue | EE | University of Kentucky |
| Aly A. Farag | ECE | U of Louisville |
| Xiaobing Feng | Mathematics | University of Tennessee |
| Fred Gibou | CS | Stanford University |
| SungHa Kang | Mathematics | University of Kentucky |
| Daniel L. Lau | EE | University of Kentucky |
| Shaun Love | IP Group | Lexmark International, Inc. |
| Lothar Reichel | Mathematics | Kent State University |
| Shouhong Wang | Mathematics | Indiana University |
| Ross Whitaker | CS | University of Utah |
| HongKai Zhao | Mathematics | UC Irvine |
| Mar.21 (Fri) | ||
| 8:50 - 9:00 | Seongjai Kim |
Welcoming Remark |
| 9:00 - 9:45 | Yunmei Chen |
Using prior shape and intensity profile
in medical image segmentation |
| 9:50 - 10:35 | Shaun Love |
Stochastic Methods in Image Rendering |
| 10:40 - 11:00 | Coffee |
|
| 11:00 - 11:45 | Tony Chan |
A fast algorithm for variational level set image segmentation |
| 11:50 - 1:30 | Lunch |
|
| 1:30 - 2:15 | Ross Whitaker |
A PDE-Based Framework for Processing Surfaces |
| 2:20 - 3:05 | HongKai Zhao |
Imaging both the location and size of an extended target using an
active array |
| 3:10 - 3:30 | Coffee |
|
| 3:30 - 4:15 | Sung Ha Kang |
An error analysis on image inpainting problems |
| 4:20 - 5:05 | Fred Gibou |
A Fast Hybrid k-Means Level Set Algorithm For Segmentation |
| Mar.22 (Sat) | ||
| 9:00 - 9:45 | Daniel L. Lau |
Spatial and Spectral Characterization of Stochastic Halftones |
| 9:50 - 10:35 | Xiaobing Feng |
On total variational flow and its finite element approximations |
| 10:40 - 11:00 | Coffee |
|
| 11:00 - 11:45 | Aly A. Farag |
Stochastic models in image analysis:
Parameter estimations and case studies
in image segmentation |
| 11:50 - 1:30 | Lunch |
|
| 1:30 - 2:15 | Shouhong Wang |
Structure and Motion Based on Incompressible Fluid Flows |
| 2:20 - 3:05 | Kevin Donohue |
Parametric imaging for ultrasonic breast scans using the generalized
spectrum |
| 3:10 - 3:30 | Coffee |
|
| 3:30 - 4:15 | Lothar Reichel |
Iterative methods for Tikhonov regularization |
| 4:20 - 5:05 | Seongjai Kim |
Efficient and reliable numerical methods
for PDE-based image restoration |
| 6:00 - | Banquet |
|
| 8:00 - | Party |
@ Dr.Kim's Home:
Address, Map, and Driving Direction |
| Mar.23 (Sun) | Morning |
Local Tour for those who want |
| Robin Cooper | Biology | University of Kentucky |
| Wandi Ding | Math | University of Tennessee |
| Jayaroop Gullapalli | |
University of Kentucky |
| Mike Lhamon | Imaging | Lexmark |
| Hyeona Lim | Mathematics | Michigan State University |
| En-Bing Lin | Mathematics | University of Toledo, OH |
| Yilong Ni | |
Yale University |
| Odubola G. Omotayo | Pollyventure Computer Training Institute |
Lagos, Nigeria |
| Naceur Omrane | Surrey Space Centre | University of Surrey, UK |
| V A Premprakash | |
Kerala University, India |
| Leila Rahmani | IASBS | Zanjan, Iran |
| Naresh Shah | |
U of Kentucky |
| Bing Song | Mathematics | UCLA |
| Khageshwar Thakur | U of Kentucky & Lexmark | |
| Muhammad Usman | Mathematics | U of Cincinnati |
| Xiaoqin Wu | Mathematics | Mississippi State U |
| Qiang Ye | Math | U of Kentucky |
| Jun Zhang | CS | U of Kentucky |
There will be a certain amount of fund allocated for partial travel supports for young researchers in image processing. For interests or questions, send email to Dr. Seongjai Kim: skim@ms.uky.edu.
We are pleased to acknowledge the following supporters for the workshop:
IMA, University of Minnesota
The Center for Computational Sciences (CCS), UK
The Department of Mathematics, UK
For a free registration, click here.