Course detail
Computational Photography
FIT-VYFAcad. year: 2023/2024
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.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Entry knowledge
Rules for evaluation and completion of the course
- Project proposals
- Project assignments
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- Consultations after the lecture - literature
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- Consultations after the lecture - implementation
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- Consultations after the lecture - testing
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- WRITTEN EXAM
- Finished implementations
- Presentations of assignments, final reports
Aims
Study aids
Prerequisites and corequisites
Basic literature
Radke, R.: Computer Vision for Visual Effects. Cambridge university press. 2013.
Szeliski, R.: Computer Vision: Algorithms and Applications, Springer. 2010.
Recommended reading
Classification of course in study plans
- Programme IT-MSC-2 Master's
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
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 - Programme MITAI Master's
specialization NISY , 0 year of study, summer semester, elective
specialization NSPE , 0 year of study, summer semester, elective
specialization NBIO , 0 year of study, summer semester, elective
specialization NSEN , 0 year of study, summer semester, elective
specialization NVIZ , 0 year of study, summer semester, elective
specialization NGRI , 0 year of study, summer semester, elective
specialization NADE , 0 year of study, summer semester, elective
specialization NISD , 0 year of study, summer semester, elective
specialization NMAT , 0 year of study, summer semester, elective
specialization NSEC , 0 year of study, summer semester, elective
specialization NISY up to 2020/21 , 0 year of study, summer semester, elective
specialization NCPS , 0 year of study, summer semester, elective
specialization NHPC , 0 year of study, summer semester, elective
specialization NNET , 0 year of study, summer semester, elective
specialization NMAL , 0 year of study, summer semester, elective
specialization NVER , 0 year of study, summer semester, elective
specialization NIDE , 0 year of study, summer semester, elective
specialization NEMB , 0 year of study, summer semester, elective
specialization NEMB up to 2021/22 , 0 year of study, summer semester, elective
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
- introduction to CP, light and color (slajdy, projekty)
- photography, optics, physics, sensors, noise (slajdy)
- visual perception, natural image statistics (slajdy)
- image blending (slajdy)
- Color, color spaces, color transfer, color-to-grayscale image conversions (slajdy)
- High dynamic range (HDR) imaging - acquisition, storage and display (slajdy, HDR skript)
- High dynamic range (HDR) imaging - tone mapping, inverse tone mapping (slajdy)
- Image registration for computational photography (slajdy)
- Computational illumination, dual photography, illumination changes (slajdy)
- Image and video quality metrics (slajdy)
- Omnidirectional camera, lightfields, synthetic aperture (slajdy)
- Non-photorealistic camera, computational aesthetics (slajdy)
- Computational video, GraphCuts, editing software, guests