Courses Detail Information

ECE6605J – Image Processing


Instructors:

Yong Long

Credits: 3 credits

Pre-requisites: VE401 (Probabilistic Methods in Engineering) & VE451(Digital Signal Processing) or preceded or accompanied by VE501(Probability and Random Process) and graduate standing.

Description:

This course covers the fundamentals of imaging and image processing. Topics includes image formation, sampling, interpolation, representation, enhancement, restoration, analysis, and compression. The topics above are the applications; much of the course will focus on the methods: Fourier transforms, filtering, sampling, wavelets, random processes, etc. Rather than attempting to cover as many methods for image processing as is possible, this course discusses the fundamentals in each of the above topics in sufficient depth to facilitate subsequent independent reading of the image processing literature.

Course Topics:

2D CONTINUOUS-SPACE SIGNALS/SYSTEMS
2D FOURIER TRANSFORMS
Optical imaging basics
2D discrete-space signals/systems
Filters
Interpolation
Image analysis
Image enhancement
Wiener Filter
C1 Image restoration
SP: regularization based on sparsity
Image coding