-- Latest update: 27/05/04

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Workshop on

Mathematics in Image Processing

8 9 December 2003

Part of IMS program on Mathematics and Computation in Imaging Science and Information Processing (July - December 2003 and August 2004)

 Organizers

 Visitors

 About the workshop

This workshop is part of a two-week event (Dec 8 - 19) under the program on Mathematics and Computation in Imaging Science and Information Processing. The aims of the workshop are to promote research interest in mathematical modeling and computational methods in image processing, in particularly the ill-posed inverse problems; and to foster collaborations and exchanges among mathematicians and engineers.

 Venue

 Program

 

  Monday, 8 December 2003

9:00am 9:20am

Registration

9:20am 9:30am

Opening address

9:30am 10:30am

An integrated optical/digital approach for improved image restoration
Robert Plemmons, Dept. of Mathematics & Computer Science, Wake Forest University, USA

10:30am 11:00am

--- Tea break ---

11:00am 12:00nn

Structured matrix computation and image recovery applications
Michael Ng, Dept. of Mathematics, University of Hong Kong

12:00nn 2:00pm

--- Lunch break ---

2:00pm 3:00pm

Analysis of half-quadratic minimization methods for signal and image recovery
Mila Nikolova, Centre de Mathematiques et de Leurs Applications

3:00pm 3:30pm

--- Tea break ---

3:30pm 4:30pm

Impulse noise removal by median-type noise detector and edge-preserving regularization
Raymond Chan, Dept. of Mathematics, Chinese University of Hong Kong

 

  Tuesday, 9 December 2003

2:00pm 3:00pm

Boundary conditions and fast deblurring models
Stefano Serra Capizzano, Dipartimento di Chimica, Fisica, e Matematica Universita dell'Insubria - Sede di Como

3:00pm 3:10pm

Closing Remarks

3:10pm ~

--- Tea break ---

 

 Registration

Please complete the registration form (MSWord|PDF|PS) and fax to (65) 6873 8292 or email to ims@nus.edu.sg. If you are an IMS member or are applying for IMS membership, you do not need to register for the attendance of the workshop. Registration is free.

 Contacts