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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 COMPUTER ENGINEERING
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Type of Program
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Formal Education
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Type of Course Unit
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Elective
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Course Delivery Method
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Face To Face
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Objectives of the Course
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Introducing foundations of image processing techniques.
Providing a broader view of common DIP problems.
Discussing recent advancements in the field of DIP.
Explaining the implementation approaches of the DIP methods.
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Course Content
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The principle objectives of this course are to provide an introduction to basic concepts and methodologies for digital image processing, and to develop a foundation that can be used as the basis for further study and research in this field. The course content includes, overview of digital image processing applications, transition of images from analog to digital domain and fundamentals of digital images, histogram processing, spatial filtering, discrete Fourier transform of one and two variables, and image filtering in frequency domain, various types of noises and their statistical properties, various filters for noise reduction, image enhancement, i.e., sharpening, softening etc. image reconstruction from projections, wavelets and multiresolution processing, image compression fundamentals, morphological image processing, image segmentation and thresholding
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Course Methods and Techniques
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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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None
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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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