Course Information

Course Name	Turkish	Dijital Video İşleme
	English	Digital Video Processing
Course Code	TEL 520E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	2	3	3	-	-
Course Language		English
Course Coordinator		Hülya Yalçın
Course Objectives		This course provides an introduction to principles of digital image and video processing. After passing this course, participants should be able to use point operations, choose appropriate color spaces, perform basic image segmentation and image filtering, implement multiresolution and image matching techniques, video filters, and basic algorithms for image and video compression. Homework exercises and a course project will help students to gain hands-on experience. Course main content: Point operations, color, image segmentation and morphological processing, image filtering, unitary transforms, multiresolution image processing, image matching, motion estimation, video filtering, motion-adaptive multiresolution processing, restoration, superresolution, image compression, motion-compensated video compression.
Course Description		Course main content: Point operations, color, image segmentation and morphological processing, image filtering, unitary transforms, multiresolution image processing, image matching, motion estimation, video filtering, motion-adaptive multiresolution processing, restoration, superresolution, image compression, motion-compensated video compression.
Course Outcomes
Pre-requisite(s)
Required Facilities
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Textbook		Richard Szeliski, Computer Vision: Algorithms and Applications, 2010. (can be dowloaded as pdf for free from: http://szeliski.org/Book/drafts/SzeliskiBook_20100903_draft.pdf)
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