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HU Credits:
3
Degree/Cycle:
1st degree (Bachelor)
Responsible Department:
computer sciences
Semester:
2nd Semester
Teaching Languages:
Hebrew
Campus:
E. Safra
Course/Module Coordinator:
Prof Dani Lischinski
Coordinator Office Hours:
By appointment
Teaching Staff:
Prof Dani Lischinski
Prof Shmuel Peleg
Course/Module description:
Computational photography is a research area where image processing and computer vision meet computer graphics to yield tools that extend the boundaries of conventional photography.
Course/Module aims:
The course will cover a number of contemporary research problems in the area and will present state-of-the-art solutions.
Learning outcomes - On successful completion of this module, students should be able to:
Understand the course topics
Attendance requirements(%):
90
Teaching arrangement and method of instruction:
Lecture and recitation
Course/Module Content:
Camera and photography basics
Color spaces
Color constancy and white balance
HDR imaging and tone mapping
Gradient domain processing
Interactive image editing
Light field cameras
Image and video mosaicing
Image retargeting
Super-resolution
Deblurring
Dehazing
Required Reading:
NA
Additional Reading Material:
Course/Module evaluation:
End of year written/oral examination 50 %
Presentation 0 %
Participation in Tutorials 0 %
Project work 0 %
Assignments 50 %
Reports 0 %
Research project 0 %
Quizzes 0 %
Other 0 %
Additional information:
The course is intended for third year BSc students, who are interested in learning about cutting edge research in the area of computational photography. Also highly recommended for MSc and PhD student with interest in this area.
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