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
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