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Language of Instruction
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English
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Level of Course Unit
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Master's Degree
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Department / Program
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ELECTRICAL AND ELECTRONICS ENGINEERING
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Mode of Delivery
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Face to Face
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Type of Course Unit
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Elective
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Objectives of the Course
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This course introduces the fundamental principles and algorithms of digital image processing systems. The course will cover many subjects including image sampling and quantization; spatial and frequency domain image enhancement techniques; digital signal processing theories used for digital image processing, such as onedimensional and twodimensional convolution, and twodimensional Fourier transformation; color models and basic color image processing
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Course Content
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The following topics will be included: Digital images as twodimensional signals; twodimensional convolution, Fourier transform, and discrete cosine transform; Image processing basics; Image enhancement; Image restoration; Wavelets and Multiresolution processing; Image coding and compression
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Course Methods and Techniques
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1 - Lecture, 2 - Question - Answer, 3 - Discussion, 4 - Drill and Practice, 14 - Self Study
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Prerequisites and co-requisities
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None
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Course Coordinator
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None
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Name of Lecturers
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Prof.Dr. SEMA KAYHAN
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Assistants
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None
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Work Placement(s)
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No
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Recommended or Required Reading
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Resources
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R. C. Gonzalez and R. E. Woods, “Digital Image Processing”, PrenticeHall, 3rd Ed., 2008, ISBN 013168728X., References R. C. Gonzalez, R. E. Woods, S. L. Eddins, “Digital Image Processing Using MATLAB”, PrenticeHall, 2nd Ed., 2009, ISBN 9780982085400
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Course Category
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Mathematics and Basic Sciences
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%20
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Engineering
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%20
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Engineering Design
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%60
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