| TNM089 |
Imaging Technology, 6 ECTS credits.
/Bildteknik/
For:
MT
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Prel. scheduled
hours: 48
Rec. self-study hours: 112
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Area of Education: Technology
Main field of studies: Media Technology
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Advancement level
(G1, G2, A): A
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Aim:
The aim of the course is to give the student an introduction to the field of computational photography. Computational photography is a novel field that encompasses subject areas in computer graphics, computer vision and optics, using methods for combining optics and software to produce new types of images. After a completed course the student is expected to be able to:
- describe and use basic components of conventional digital camera technology.
- describe the basic concepts of color imaging techniques.
- use and analyze models for light scattering at surfaces.
- present an overview of multidimensional Lightfield imaging.
- implement and use multimodal imaging methods.
- describe novel and emerging imaging technologies.
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Prerequisites: (valid for students admitted to programmes within which the course is offered)
Linear algebra (e.g. linear transforms, matrix factorizations, linear least squares), Mathematical statistics (probability distributions and basic statistics), Transform Theory (continuous and discrete Fourier transforms), Image Processing (basic image and signal processing). For the labs a working knowledge of Matlab is necessary.
Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding.
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Organisation:
Lectures and computer exercises, followed by a final project work and project presentation.
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Course contents:
Topics that are covered in the course are:
- Conventional camera technology: optics, sensors and near-sensor signal processing like demosaicing.
- Basic color imaging: multi-spectral and multi-channel imaging models and descriptions of illumination sources.
- Light-matter interaction: BRDF capture, analysis and modeling.
- Lightfield theory: Overview of techniques for multidimensional Lightfield capture and imaging.
- Multi-image techniques: exposure bracketing, basic multi-view imaging and coded apertures.
- Novel imaging techniques: Overview of experimental imaging techniques and some examples of imaging techniques in the non-visible wavelength range.
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Course literature:
Szeliski: Computer Vision: Algorithms and Applications,
Sharma: Digital Color Imaging Handbook,
Review articles
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Examination: |
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Project work with oral and written presentation
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6 ECTS
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Course language is Swedish.
Department offering the course: ITN.
Director of Studies: Camilla Forsell
Examiner: Reiner Lenz
Link to the course homepage at the department
Course Syllabus in Swedish
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