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: J. S. Lim, Two-Dimensional Signal and Image Processing, Prentice Hall, 1990.

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:

1. Understand the fundamental concepts of 2D signals and systems;

2. Perform image enhancement and restoration;

3. Perform image compression and decompression;

4. Perform video compression and decompression.