Department of Electrical and Computer Engineering

ECE 578 Digital Image Processing II

Full-color image processing, image noise and degradation models, image restoration, inverse filtering, Wiener filtering, geometric transformations, image compression models, error-free compression, lossy compression, compression standards, dilation and erosion, opening and closing operations, morphological filtering, boundary descriptors, regional descriptors, principal components, vision-based pattern recognition.

Credit Hours: 3 Lecture

Prerequisites: ECE 558

Course Coordinator: Lalit Gupta

Textbooks:

1. "Digital Image Processing", R.C. Gonzalez & Richard E. Woods,  Prentice Hall, 2002, ISBN: 0-201-50803-6.

References:

1. Journal Papers.

Goals:

1. To introduce graduate students who are familiar with basic image processing to additional and more advanced topics in image processing.

Projects:

1. Enhancement of color images.

2. Image restoration filters.

3. DCT based image compression.

4. Morphological noise reduction filtering.

5. Skeletons and boundary descriptors.

6. Principal-components based description.

Computer Tools: Matlab

Last Review: Spring Semester 2004