Course detail
Computational Photography
FIT-VYFAcad. year: 2017/2018
Current digital cameras almost completely surpass traditional photography. They do not only capture light, they in fact compute pictures. That said, there is practically no image that would not be computationally processed to some extent today. Visual computing is ubiquitous. Unfortunately, images taken by amateur photographers often lack the qualities of professional photos and some image editing is necessary. Computational photography (CP) develops methods to enhance or extend the capabilities of the current digital imaging chain.
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Course curriculum
- Syllabus of lectures:
- introduction to CP, light and color
- photography, optics, physics, sensors, noise
- visual perception, natural image statistics
- image blending
- color to gray
- HDR acquisition and display
- HDR tone mapping and inverse tone mapping
- image registration for CP
- computational illumination, dual photography, relighting
- image and video quality assessment
- lightfields, synthetic aperture
- npr and cae
- computational video
- image editing software, guests and reserve
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Classification of course in study plans
- Programme IT-MSC-2 Master's
branch MMI , 0 year of study, summer semester, elective
branch MBI , 0 year of study, summer semester, elective
branch MSK , 0 year of study, summer semester, elective
branch MMM , 0 year of study, summer semester, elective
branch MBS , 0 year of study, summer semester, elective
branch MPV , 0 year of study, summer semester, elective
branch MIS , 0 year of study, summer semester, elective
branch MIN , 0 year of study, summer semester, elective
branch MGM , 0 year of study, summer semester, elective