Dr. Xiaolin Wu

3 unit(s)
Staff (cross-listed as BIOMED 6TN3)

Digital image formation and representation; filtering, enhancement and restoration; edge detection; discrete image transforms; encoding and compression; segmentation; recognition and interpretation; 3D imagery; applications.

3 unit(s)

The course is an introduction in parallel algorithm design and programming techniques for massive arrays of processing units available on modern GPU. The course will introduce the students to GPU computing architectures provided by NVIDIA and ATI. This is a hands-on course; each student will complete a short project involving the design, implementation, testing, and performance evaluation of an algorithm on a GPU.

3 unit(s)
X. Wu

This course introduces students to the exciting problems of high fidelity image and video processing, and brings them to the frontier and challenges of this research area. The lectures will cover the theoretical fundamentals (the limits of sampling and reconstruction, mathematical modeling of multi-dimensional signals, etc.), algorithmic techniques, applications, and open problems. The course will prepare the students for future research endeavours and industrial jobs in the areas of image/video processing, multimedia, medical imaging, etc.

Probability theory; random variables; expectations; random processes; autocorrelation; power spectral densities.
Three lectures, one tutorial; first term
Prerequisite(s): MATH 2Z03
Antirequisite(s): COMMERCE 2QA3, ELECENG 3TQ4