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Signal Processing for Multimedia

What Will Learn?

  • Course Aims
    1.) Introduce the students to the processing of digital multimedia signals such image and audio signals. 2.) Provide the students with practical experience by applying some of the learned concepts using computer simulations.
  • Course Goals
  • Industry, Innovation and Infrastructure
  • Sustainable Cities and Communities

Requirements

ECE362

Description

  • English Description

    Introduction to multimedia. Introduction to the theory and applications of 2D signal and image processing: 2D signals and systems analysis, 2D sampling and quantization, 2D signals and image transformation, 2D filter design. Image formation. Image enhancement. Image restoration. Morphological operations. Feature extraction. Basics of digital audio. Audio and Speech Acquisition, Representation and Storage. Digital Processing of Speech. LPC and Cepstrum Analysis. Speech Parameter Estimation.
  • Arabic Description

    Introduction to multimedia. Introduction to the theory and applications of 2D signal and image processing: 2D signals and systems analysis, 2D sampling and quantization, 2D signals and image transformation, 2D filter design. Image formation. Image enhancement. Image restoration. Morphological operations. Feature extraction. Basics of digital audio. Audio and Speech Acquisition, Representation and Storage. Digital Processing of Speech. LPC and Cepstrum Analysis. Speech Parameter Estimation.
  • Department
    Electronics and Communications Engineering
  • Credit Hours
    3
  • Grades
    Total ( 100 ) = Midterm (20) + tr.Major Assessment (25 = tr.Industry 0% , tr.Project 10% , tr.Self_learning 10% , tr.Seminar 10% ) + tr.Minor Assessment (5) + tr.Oral/Practical (10) + Exam Grade (40)
  • Hours
    Lecture Hours: 2, Tutorial Hours: 2, Lab Hours: 1
  • Required SWL
    125
  • Equivalent ECTS
    5
  • 1.) Digital Image Processing, 4th edition. Published by Pearson © 2018. Rafael C. Gonzalez University of Tennessee, Richard E. Woods MedData Interactive.
  • 2.) Digital Image Processing Using MATLAB, 3rd edition. Rafael C. Gonzalez, University of Tennessee Richard E. Woods, Interapptics Steven L. Eddins, MathWorks Gatesmark Publishing, 2020. ISBN: 9780982085417
  • 3.) McLoughlin, I. (2016). Speech and Audio Processing: A MATLAB®-based Approach. Cambridge: Cambridge University Press. doi:10.1017/CBO9781316084205 - Richard E. Woods, “Digital Image Processing,” 4th edition Published by Pearson (March 20, 2017) © 2018 - Richard E. Woods, “Digital Image Processing,” 4th edition Published by Pearson (March 20, 2017) © 2018.