Course details
Computational Photography
VYF Acad. year 2017/2018 Summer semester 5 credits
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.
Guarantor
Language of instruction
Completion
Time span
Assessment points
- 40 pts mid-term test (20 pts written part, 20 pts test part)
- 60 pts projects
Department
Subject specific learning outcomes and competences
Item has no knowledges.
Learning objectives
The aim is to introduce computational photography methods (http://cphoto.fit.vutbr.cz/) and to get acquainted with the principles of mathematics and computer science in the field.
Prerequisite knowledge and skills
There are no prerequisites
Fundamental literature
- Radke, R.: Computer Vision for Visual Effects. Cambridge university press. 2013.
Syllabus of seminars
- 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
Progress assessment
Výuka není kontrolována.
Controlled instruction
There are no checked study.
Course inclusion in study plans