Course Number 0512-4262-01
Course Name Image Processing
Academic Unit The Iby and Aladar Fleischman Faculty of Engineering -
Electrical Engineering
Lecturer Prof. Nahum KiryatiContact
Contact Email:
Office Hours By appointmentBuilding: Wolfson Software , Room: 306
Mode of Instruction Lecture
Credit Hours 3
Semester 2021/1
Day Thu
Hours 08:00-11:00
Building Engineering Studies Building
Room 101
Syllabus Not Found

Short Course Description

Credit Points: 3.5
Prerequisites: Introduction to Digital Signal Processing; Random Signals and Noise .

1. Introduction: Digital Image Processing and related fields. Applications of Digital Image Processing
2. Two-dimensional signal processing in the continuous spatial and frequency domains
3. Sampling two-dimensional signals
4. Quantization
5. Two-dimensional signal processing in the discrete spatial and frequency domains
6. Unitary image transforms: DFT, Hadamard, DCT
7. The Haar transorm. Introduction to wavelets
8. Image enhancement
9. Image restoration
10. Image compression, the JPEG standard
11. Introduction to video compression
12. Reconstruction from projections. Radon transform, Introduction to Computed Tomography
13. Color representation
14. Introduction to the human visual system

Full syllabus will be available to registered students only
Course Requirements

Final Exam

Students may be required to submit additional assignments
Full requirements as stated in full syllabus

PrerequisiteRandom Signals and Noise (05123632) +Introduction to (05124200)

The specific prerequisites of the course,
according to the study program, appears on the program page of the handbook

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