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Cyprus International University
TR

SIGNAL AND IMAGE PROCESSING

Course
CMPE326 - SIGNAL AND IMAGE PROCESSING
Department
Computer Engineering - English - Undergraduate
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
6
T+P+L
3 + 0 + 1
Course Coordinator(s)
-
Prerequisite
Keywords

Course Description

Signal and Image Processing course is organised to introduce the fundamentals of digital signal and image processing techniques. The emphasis will be on analysis tools, the design of digital filters, and on the computation of the Discrete Fourier Transform (DFT). The course is designed to give all the fundamental concepts in digital image processing with emphasis in spatial filtering, frequency domain filtering, image enhancement, image restoration, compression, segmentation. Morphological image processing and the introduction to object recognition are the last topics of the course. Included in these topics, the interpolation techniques, frequency domain filtering and image averaging methods for noise removal are important topics covered. The studied methods are experimented using simulator program.

SIGNAL AND IMAGE PROCESSING

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

No course outcomes have been defined yet.

Course Syllabus

Week Topic
Week 1 Introduction to MATLAB
Week 2 Programming structures
Week 3 Signal Fundamentals
Week 4 Discrete Time Signals and Sampling
Week 5 Spectral representation
Week 6 Spectral Observation
Week 7 Short term Fourier transform
Week 8 fundamental of Linear Filters
Week 9 Midterm Exams
Week 10 Linear Filters
Week 11 Introduction to Image Processing
Week 12 Color spaces.
Week 13 Geometric transformations of an image.
Week 14 Other operations on images
Week 15 Final Exams

Reference Books & Course Materials

  1. 01 Biomedical Signal and Image Processing by Najarian, Kayvan Splinter, Robert (z-lib.org)
  2. 02 Digital Signal and Image Processing by Tamal Bose
  3. 03 Digital Signal and Image Processing Using MATLAB by Gérard Blanchet, Maurice Charbit
  4. 04 Lecture Notes

Learning Outcomes

No learning outcomes have been defined.

Program Outcomes

  1. P01 Should have sufficient knowledge in mathematics, science, and subjects specific to the relevant engineering discipline.
  2. P02 Should have the ability to use theoretical and applied knowledge in mathematics, science, and related engineering disciplines in complex engineering problems.
  3. P03 Should have the ability to detect, define, formulate, and solve complex engineering problems.
  4. P04 Should have the ability to select and apply appropriate analysis and modeling methods to solve complex engineering problems.
  5. P05 Should have the ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions.
  6. P06 Should have the ability to apply modern design methods.
  7. P07 Should have the ability to develop, select, and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications.
  8. P08 Should have the ability to use information technologies effectively.
  9. P09 Should have the ability to design experiments, for the study of complex problems or discipline-specific research topics.
  10. P10 Should have the ability to conduct experiments, collect data, analyze and interpret results for the study of complex problems or discipline-specific research topics.
  11. P11 Should have the ability to work in intradisciplinary teams.
  12. P12 Should have the ability to work in interdisciplinary teams.
  13. P13 Should have the skills to work individually.
  14. P14 Should have the ability to communicate effectively verbally and in writing.
  15. P15 Should have the knowledge of at least one foreign language.
  16. P16 Should be able to write effective reports, understand written reports, and prepare design and production reports.
  17. P17 Should have the ability to make effective presentations.
  18. P18 Should have the ability to give and have clear and understandable instructions.
  19. P19 Should gain consciousness (awareness) about the necessity of lifelong learning.
  20. P20 Should have the ability to access information.
  21. P21 Should have the ability to follow developments in science and technology and constantly renew himself/herself.
  22. P22 Should gain the awareness of professional and ethical responsibility and should act in accordance with ethical principles.
  23. P23 Should gain knowledge about the standards used in engineering applications.
  24. P24 Should gain knowledge about project management, risk management, and change management practices in business life.
  25. P25 Should gain awareness about entrepreneurship, and innovation.
  26. P26 Should gain knowledge about development in sustainability.
  27. P27 Should gain knowledge about the effects of engineering practices on health, environment, and security at universal and social dimensions and the problems of the age reflected in the field of engineering.
  28. P28 Awareness should be gained about the legal consequences of engineering solutions.

Po-Lo Matrix

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