ECEN 5672 - Digital Image Processing
3 credit hours
Online Course Materials
Catalog Description:
The objective of the course is to present the fundamental techniques
available for image representation and compression (e.g., wavelets),
filtering (e.g., Wiener and nonlinear filter), and segmentation
(e.g., anisotropic diffusion).
Prerequisite:
ECEN 5632, Theory and Applications of Digital
Filtering, or instructor consent.
Textbook:
Digital Image Processing,
Gonzalez and Wintz,Addison-Wesley, 1987.
Reference:
Fundamentals of Digital Image Processing, A.K. Jain,Prentice
Hall, 1989.
Goals:
This course is designed to teach
students the theory of image enhancement and image restoration with
hands-on experience through homeworks and class
project.
Topics:
- Image formation and visual perception.
- Digitization, multidimensional transforms.
- Transform coding and image compression.
- Enhancement, filtering, restoration, and reconstruction.
- Tomography.
Computer Usage:
- Ideally, part of every homework includes problems
which utilize one of the ITS computer labs and an image processing
software package such as IDL.
Laboratory Projects:
- Term project can be theoretical or applied.
Applied projects usually include examples and simulations performed with
an image processing computer system.
ABET Category Content:
