Syllabus

ECE 559 - Digital Image Processing

Lecturer: Dr. Kasım Taşdemir

	Quantity	Weight %
Homework Assignments	8	40
Midterm	1	30
Final	1	30

Weekly schedule:

1. Overview of Digital Image Processing applications,
2. Image sampling and quantization, Relation of the pixels,
3. Intensity transformations, histogram processing, spatial filters Fourier transform of sampled functions, Discrete Fourier Transform (DFT) and
4. properties of 2D DFT,
5. Filtering in frequency domain
6. Filtering in frequency domain (Continued)
7. Image restoration and reconstruction
8. Midterm Exam
9. Image reconstruction from projections
10. Wavelets and multiresolution processing,
11. Wavelets and multiresolution processing (Continued)
12. Morphological operations
13. Image segmentation and thresholding
14. Introduction to pattern recognition
15. Course Review
16. Final Exam

Textbook:

• Rafael C. Gonzalez, “Digital Image Processing”, Prentice Hall, 3rd edition, 2008

RECOMMENDED BOOKS:

• Gonzalez, et al., “Digital Image Processing Using MATLAB”, Gatesmark Publishing, 2nd edition, 2009
• William K. Pratt, “Digital Image Processing: PIKS Scientific Inside”, Wiley, 4th edition, 2006,
• Edward R. Dougherty, “Random Processes for Image Signal Processing”, Wiley, 1998

Schedule:

	Mon	Tue	Wed	Thu	Fri
9:00		Seminar Room A
10:00
11:00