Fundamentals of Digital Image and Video Processing Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
This course provides a comprehensive introduction to the fundamentals of digital signal processing (DSP), with a focus on applications in image and video processing. Over approximately 20 hours of content, learners will progress through a structured sequence of modules covering core DSP concepts, analytical methods, and practical implementations. The course blends theoretical foundations with real-world engineering applications, enabling learners to analyze, design, and apply DSP techniques effectively.
Module 1: Introduction to Digital Signal Processing
Estimated time: 2 hours
- Overview of DSP fundamentals
- Key concepts of discrete-time signals and systems
- Applications in engineering and technology
- Introduction to digital image and video processing contexts
Module 2: Time-Domain Analysis of Discrete-Time Systems
Estimated time: 3 hours
- Linear time-invariant (LTI) systems and their properties
- Convolution in discrete-time systems
- Difference equations and system representations
- Impulse and step responses in signal processing
Module 3: Frequency-Domain Analysis
Estimated time: 3 hours
- Discrete-Time Fourier Transform (DTFT)
- Properties of the DTFT
- Frequency response of LTI systems
Module 4: The z-Transform
Estimated time: 2 hours
- Definition and properties of the z-transform
- System function representation
- Poles, zeros, and stability analysis
Module 5: Digital Filter Design
Estimated time: 3 hours
- FIR filter design using windowing methods
- IIR filter design using bilinear transformation
- Filter specifications and practical considerations
Module 6: Fast Fourier Transform (FFT)
Estimated time: 2 hours
- FFT algorithms for efficient computation
- Spectrum analysis using FFT
- Applications in image and signal processing
Module 7: Applications of DSP
Estimated time: 2 hours
- DSP in audio processing
- Signal processing in wireless communication systems
- Biomedical signal analysis applications
Module 8: Final Assessment
Estimated time: 1 hour
- Comprehensive quiz covering all modules
- Evaluation of theoretical understanding
- Assessment of practical application knowledge
Prerequisites
- Basic understanding of signals and systems
- Familiarity with mathematical concepts such as linear algebra and calculus
- Some programming experience recommended for implementation exercises
What You'll Be Able to Do After
- Understand core principles of digital signal processing
- Analyze discrete-time signals and systems in time and frequency domains
- Design digital FIR and IIR filters for practical applications
- Apply FFT algorithms for efficient signal and spectrum analysis
- Implement DSP techniques in audio, communications, and biomedical engineering contexts