Camera Technology
PDF Course Catalog Deutsche Version: KAT2
Version: 2 | Last Change: 01.12.2019 22:14 | Draft: 0 | Status: vom verantwortlichen Dozent freigegeben
Long name | Camera Technology |
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Approving CModule | KAT2_BaMT |
Responsible |
Prof. Dr. Gregor Fischer
Professor Fakultät IME |
Valid from | winter semester 2022/23 |
Level | Bachelor |
Semester in the year | winter semester |
Duration | Semester |
Hours in self-study | 60 |
ECTS | 5 |
Professors |
Prof. Dr. Gregor Fischer
Professor Fakultät IME |
Requirements | Attending the courses PHO1, PHO2 and SIGA |
Language | German, English if necessary |
Separate final exam | Yes |
E.A. Weber, Foto Praktikum, Birkhäuser |
A. J. Theuwissen, Solid-State Imaging with Charge-Coupled Devices, Kluwer 1995 |
G. R. Hopkinson, T. M. Goodman, S. R. Prince, A Guide to the Use and Calibration of Detector Array Equipment, SPIE 2004 |
G. C. Holst, T. S. Lomheim, CMOS/CCD Sensors and Camera Systems, SPIE |
J. Nakamura, Image Sensors and Signal Processing for Digital Still Cameras, Taylor & Francis |
Reinhard/Ward/Pattanaik/Debevec, High Dynamic Range Imaging, Elsevier 2010 |
Details | Written exam with arithmetic and comprehension excercises |
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Minimum standard | 50% of maximum points |
Exam Type | EN Klausur |
Goal type | Description |
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Knowledge | color imaging methods color mosaic and spectral sensitivity color interpolation (demosaicking) white balance (incl. AWB) color correction |
Knowledge | camera lenses lens types (telephoto, normal, panorama, fish eye, zoom, macro, tilt/shift, telecentric) aberration and correction construction types (Petzval, Anastigmate, Gauß, Triplet …) inner focus, zoom, image stabilization characteristics / technical data (optical sizes, aberration, vignetting, stray light) modelling and measurement of lenses (MTF/resolution, distortion, vignetting, stray light) |
Knowledge | camera systems and their characteristics SLR-, system- and compact cameras videocameras HDR-cameras contrastmanagement autofocus electronic viewfinder |
Skills | specify and explain the operation of color processing and related methods in a digital camera |
Skills | understand and define optical functionality and characteristics of different lens constructions |
Skills | derive and explain correction models for an optical system from lens properties |
Skills | analyze camera systems and their characteristics with respect to hardware (incl. autofocus and view finder) and distinguish between image processing methods |
Type | Attendance (h/Wk.) |
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Lecture | 2 |
Exercises (whole course) | 1 |
Exercises (shared course) | 0 |
Tutorial (voluntary) | 0 |
none |
Accompanying material | electronic slides as presented during lectures, electronic collection of excercises |
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Separate exam | No |
Goal type | Description |
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Skills | analyze DNG color correction model and apply it for inspection of color reproduction quality |
Skills | create and recognise relationship between spectral sensitivity and metamerism of a digital camera |
Skills | recognise and assess artefacts in the image (aberration, stray light, vignetting, ...) |
Skills | analyze and assess MTF and resolution |
Skills | inspection and review of color reproduction quality for digital cameras |
Skills | measurement of resolution for digital cameras |
Skills | inspection and review of autofocus accuracy |
Skills | implementation of a procedure for contrast management and realization of a simple automatic image control |
Skills | present and document results |
Type | Attendance (h/Wk.) |
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Practical training | 2 |
Tutorial (voluntary) | 0 |
none |
Accompanying material |
electronic description of lab-excercises, electronic developping tools for access to raw data (Matlab) image processing (Matlab) digital camera simulation (Stanford's Imageval in Matlab) |
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Separate exam | Yes |
Exam Type | EN praxisnahes Szenario bearbeiten (z.B. im Praktikum) |
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Details | Short technical discussion during lab excercise Reports about lab excercises |
Minimum standard | Reports for all lab excercises must be delivered in correct form with correct results |
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