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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. Avital Shafran
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(%):
50
0
Teaching arrangement and method of instruction:
Frontal Lectures. At least 50% attendance recommended.
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/
Course/Module evaluation:
End of year written/oral examination 0 %
Presentation 0 %
Participation in Tutorials 0 %
Project work 0 %
Assignments 30 %
Reports 0 %
Research project 0 %
Quizzes 70 %
Other 0 %
Additional information:
Assignments include substantial programming of image processing tasks. Programming will be in Python and its numerical libraries.
3 short quizzes will be given during the course instead of a final exam. MOED BET exam will not be given.
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