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HU Credits:
4
Degree/Cycle:
1st degree (Bachelor)
Responsible Department:
Computer Sciences
Semester:
1st Semester
Teaching Languages:
Hebrew
Campus:
E. Safra
Course/Module Coordinator:
Prof Shmuel Peleg
Coordinator Office Hours:
Coordinate in advance
Teaching Staff:
Prof Shmuel Peleg,
Ms. Timna Kleinman
Course/Module description:
Introduction to digital image processing: description of the imaging process, and learning basic concepts and operations.
Course/Module aims:
To understand the capabilities of digital image processing, and enable students to develop and write basic software.
Learning outcomes - On successful completion of this module, students should be able to:
Students will be able to read image processing textbooks and papers, and implement basic algorithms. Also, design algorithms to solve many image processing problems.
Attendance requirements(%):
33
0
Teaching arrangement and method of instruction:
Frontal Lectures. At least 33% attendance required.
Course/Module Content:
Image capture and digitization; basics of imaging geometry; the Histogram; image enhancement and restoration; Convolutions and Fourier Transform; Intro to Sounds; Geometrical transformations and warping; Multiresolution pyramids; Image compression; Image alignment; panoramic stitching; Robust methods; morphology of binary images; neural network methods for image enhancement
Required Reading:
NA
Additional Reading Material:
http://homepages.inf.ed.ac.uk/rbf/CVonline/
Grading Scheme :
Submission assignments during the semester: Exercises / Essays / Audits / Reports / Forum / Simulation / others 25 %
Mid-terms exams 75 %
Additional information:
Assignments include substantial programming of image processing tasks. Programming will be in Python and its numerical libraries. Assignments will contribute 25% to the final grade.
3 short quizzes of 1 hour each will be given during the semester instead of a final exam. Each of these quizzes will contribute 25% of final grade, and MOED BET will not be given for quizzes.
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