MATH3413 MATH3413 Seminar I (2010-2011)

About the course

About the lecturer


Students interested in taking this course should register with the Department.
The students will form a group of 2 students and each group will be doing different project in image processing.

Students taking this course MUST have knowledge in programming in MATLAB or other high-level programming languages.

The theme this year: Image Processing and and Its Applications.


Quota: 8 students in 4 groups of two. Please arrange your partner yourselves.

Grade:

Date of Meetings:


Reference texts and paper:

  1. Deblurring Images: Matrices, Spectra, and Filtering, by Per Christian Hansen, James G. Nagy, and Dianne P. O'Leary
  2. Medical Imaging, Signals and Systems, by Jerry L. Prince, and Jonathan M. Links
  3. R. Chan, M.K. Ng, T.F. Chan, and A.M. Yip, Cosine Transform Preconditioners for High Resolution Image Reconstruction, Linear Algebra Appls., 316 (2000), 89-104
  4. R. Chan, Y.W. Wen, and A.M. Yip, A Fast Optimization Transfer Algorithm for Image Inpainting in Wavelet Domains, IEEE Trans. Image Proc., 18 (2009), 1467-1476.


Materials for the first presentation:


Projects: to be presented on your second presentation.


Things to know about the presentations and bi-weekly meetings:

Things to know for the project defense:

One week after the presentation, please hand in a 5-page project summary.
It should contain again the aim of your project, the method used, the results obtained by you, and the bibliography.