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EECS 420 - Digital Image Processing

COURSE TITLE: 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: 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

Description and Properties of 2-D signals and systems
2-D Fourier Transform
2-D DFT and FFT
Rectangular sampling
Arbitrary sampling

Enhancement and Restoration

Contrast and dynamic range modification
Edge detection
Degradation models
Noise filtering
Deterministic restoration filters

Stochastic restoration filters

Image Compression
Quantization
Lossless coding
Predictive coding
Transform coding
Standards (JPEG)
Fractal coding

Video Compression

Motion estimation
Transform coding
Standards (MPEG, H.261, H.263)

COMPUTER USAGE: None.

LABORATORY PROJECTS: None.

GRADES:

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.

Northwestern University Robert R. McCormick School of Engineering and Applied Science Electrical Engineering and Computer Science Department