ECE 63700 - Digital Image Processing I
Course Details
Credits: 3
Areas of Specialization:
- Communications, Networking, Signal & Image Processing
Counts as:
Normally Offered:
Each Spring
Campus/Online:
On-campus and online
Requisites by Topic:
Python, C
Catalog Description:
Introduction to digital image processing techniques for enhancement, compression, restoration, reconstruction, and analysis. Lecture and laboratory experiments covering a wide range of topics including 2-D signals and systems, image analysis, image segmentation; achromatic vision, color image processing, color imaging systems, image sharpening, interpolation, decimation, linear and nonlinear filtering, printing and display of images; image compression, image restoration, and tomography. This course utilizes Python/Numpy, C, and TensorFlow.
Required Text(s):
- Handbook of Image & Video Processing , Al Bovik , Academic Press, San Diego , 2000 , ISBN No. 0-12-119790-5
Recommended Text(s):
None.
Lecture Outline:
| Weeks | Topic |
|---|---|
| 1.0 | 1. Continuous Space Signals and Systems |
| 1.0 | 2. Discrete Space Signals and Systems |
| 2.0 | 3. Image topology, analysis and segmentation |
| 1.0 | 4. Imaging Perception and Representation |
| 2.0 | 5. Color image processing and color imaging systems |
| 1.0 | 6. Resolution conversion |
| 1.0 | 7. Image Enhancement |
| 1.0 | 8. Image Restoration and filtering |
| 1.0 | 9. Image Quantization and Halftoning |
| 2.0 | 10. Image Coding |
| 1.0 | 11. Image Reconstruction |
| 1.0 | 12. Exams and demonstrations |
Assessment Method:
none