EECS 420 - Digital Image Processing
CATALOG DESCRIPTION: Fundamentals of image processing. Image compression, enhancement, and restoration. Image reconstruction from projections and partial information.
REQUIRED TEXT: Rafael C. Gonzalez and Richard E. Woods, Digital Image Processing (3rd Edition), Prentice Hall.
REFERENCE TEXTS: None
COURSE DIRECTOR: Prof. Aggelos Katsaggelos
COURSE GOALS: To study the application of digital signal processing to problems in image processing. Topics covered will range from the fundamentals of 2-D signals and systems, to image enhancement, restoration and compression. A brief coverage of video processing (compression) will also be given.
PREREQUISITES BY COURSES: EECS 359 or equivalent
PREREQUISITES BY TOPIC: Introduction to digital signal processing.
DETAILED COURSE TOPICS:
- 2-D Signals and Systems
2-D Fourier Transform
2-D DFT and FFT
- Enhancement and Restoration
Deterministic restoration filters
- Stochastic restoration filters
- Video Compression
Standards (MPEG, H.261, H.263)
COMPUTER USAGE: None.
LABORATORY PROJECTS: None.
Homeworks – 30%
Midterm Exam – 30%
Final Exam – 40%
COURSE OBJECTIVES: When a student completes this course, s/he should be able to:
• Understand the fundamental concepts of 2D signals and systems;
• Perform image enhancement and restoration;
• Perform image compression and decompression;
• Perform video compression and decompression.