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Imaging Technology, 6 credits
Bildteknik, 6 hp
TNM089
Main field of study
Media Technology and EngineeringCourse level
Second cycleCourse type
Programme courseExaminer
Reiner LenzDirector of studies or equivalent
Camilla ForsellEducation components
Preliminary scheduled hours: 48 hRecommended self-study hours: 112 h
ECV = Elective / Compulsory / Voluntary
| Course offered for | Semester | Period | Timetable module | Language | Campus | ECV | |
|---|---|---|---|---|---|---|---|
| 6CMEN | Media Technology and Engineering, M Sc in Engineering | 9 (Autumn 2017) | 1 | 1 | Swedish | E | |
Main field of study
Media Technology and EngineeringCourse level
Second cycleAdvancement level
A1XCourse offered for
- Media Technology and Engineering, M Sc in Engineering
Entry requirements
Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.
Prerequisites
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.Intended learning outcomes
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.
Course content
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.
Teaching and working methods
Lectures and computer exercises, followed by a final project work and project presentation.
Examination
| PRA1 | Project Work with Oral and Written Presentation | 6 credits | U, 3, 4, 5 |
Grades
Four-grade scale, LiU, U, 3, 4, 5Department
Institutionen för teknik och naturvetenskapDirector of Studies or equivalent
Camilla ForsellExaminer
Reiner LenzCourse website and other links
http://www2.itn.liu.se/utbildning/kurs/Education components
Preliminary scheduled hours: 48 hRecommended self-study hours: 112 h
Course literature
Additional literature
Books
- Sharma, Digital Color Imaging Handboo
- Szeliski, Computer Vision: Algorithms and Applications
Articles
| Code | Name | Scope | Grading scale |
|---|---|---|---|
| PRA1 | Project Work with Oral and Written Presentation | 6 credits | U, 3, 4, 5 |
Regulations (apply to LiU in its entirety)
The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.
LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva.
Additional literature
Books
Sharma, Digital Color Imaging Handboo
Szeliski, Computer Vision: Algorithms and Applications
Articles
Note: The course matrix might contain more information in Swedish.
I = Introduce, U = Teach, A = Utilize
| I | U | A | Modules | Comment | ||
|---|---|---|---|---|---|---|
| 1. DISCIPLINARY KNOWLEDGE AND REASONING | ||||||
| 1.1 Knowledge of underlying mathematics and science (G1X level) |
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X
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| 1.2 Fundamental engineering knowledge (G1X level) |
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X
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X
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| 1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level) |
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X
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| 1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level) |
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| 1.5 Insight into current research and development work |
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| 2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES | ||||||
| 2.1 Analytical reasoning and problem solving |
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X
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X
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| 2.2 Experimentation, investigation, and knowledge discovery |
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| 2.3 System thinking |
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| 2.4 Attitudes, thought, and learning |
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| 2.5 Ethics, equity, and other responsibilities |
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| 3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION | ||||||
| 3.1 Teamwork |
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X
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| 3.2 Communications |
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X
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| 3.3 Communication in foreign languages |
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| 4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT | ||||||
| 4.1 External, societal, and environmental context |
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| 4.2 Enterprise and business context |
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| 4.3 Conceiving, system engineering and management |
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| 4.4 Designing |
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| 4.5 Implementing |
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| 4.6 Operating |
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| 5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS | ||||||
| 5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development |
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| 5.2 Economic conditions for knowledge development |
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| 5.3 Identification of needs, structuring and planning of research or development projects |
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| 5.4 Execution of research or development projects |
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| 5.5 Presentation and evaluation of research or development projects |
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