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- Catalog Description
- 533 Image Processing. (Crosslisted with Comp Sci.)
I; 3 cr (P-A). Mathematical
representation of continuous and digital images; models
of image degradation; picture
enhancement, restoration, segmentation, and coding;
pattern recognition, tomography. P: ECE
330 or cons inst; Math 320 or 340 or equiv.
- Course Prerequisite(s)
- Prerequisite knowledge and/or skills
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Linear signals and systems
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1-D Fourier Transform
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Basic linear algebra
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Basic probability
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Basic programming techniques
- Textbook(s) and/or other required material
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R. C. Gonzalez and R. E. Woods, Digital Image Processing, 2nd edition, Prentice Hall,2001, ISBN 0-201-18075-8
- Course objectives
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This course is designed to give first-year graduate students and seniors in ECE a fundamental understanding of digital image processing techniques, including image enhancement, restoration, coding, and low level image analysis.
- Topics covered
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2-D signals, systems, sampling and filtering
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fundamentals of image formation, human visual systems
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Digital image enhancement, spatial domain, frequency domain
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Digital image restoration, inverse, least squares, Wiener filters, constrained least square filters
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Digital image compression
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Introduction to computer vision
- Class/laboratory schedule
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Three 50-minute or two 75-minute lectures per week.
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Weekly 60-minute discussion.
- Contribution of course to meeting the professional component
- This course contributes primarily to the students' knowledge of engineering topics, but does not provide design experience.
The following statement indicates which of the following considerations are included in this course: economic, environmental, ethical, political, societal, health and safety, manufacturability, sustainability.
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- Relationship of course to undergraduate degree program objectives and outcomes
- This course primarily serves students in the department. The information below describes how the course contributes to the undergraduate program objectives.
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knowledge in the basic techniques of mathematics and the physical sciences
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basic skill in methods of design and analysis across a broad range of electrical and computer engineering areas
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strong skills in problem solving, leadership, and communication
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the ability to make thoughtful, well-informed career choices
- Assessment of student progress toward course objectives
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homework assignments
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midterm exams
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final exam
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projects
- Person(s) who prepared this description
