Course­ Manual KAT1

Image Sensor Technology


PDF Course Catalog Deutsche Version: KAT1

Version: 3 | Last Change: 29.09.2019 13:46 | Draft: 0 | Status: vom verantwortlichen Dozent freigegeben

Long name Image Sensor Technology
Approving CModule KAT1_BaMT
Responsible
Prof. Dr.-Ing. Dirk Poggemann
Professor Fakultät IME
Valid from summer semester 2022
Level Bachelor
Semester in the year summer semester
Duration Semester
Hours in self-study 60
ECTS 5
Professors
Prof. Dr.-Ing. Dirk Poggemann
Professor Fakultät IME
Requirements Basic Knowledge in Electronics (Module "Electronics") and Optics and Sensors (Modules "Phototechnology 1", "Phototechnology 2" and "Phototechnology 3")
Language German, English if necessary
Separate final exam Yes
Literature
G. C. Holst, T. S. Lomheim, CMOS/CCD Sensors and Camera Systems, SPIE
G. R. Hopkinson, T. M. Goodman, S. R. Prince, A Guide to the Use and Calibration of Detector Array Equipment, SPIE
J.R.Janesick, Photon Transfer DN -> Lambda, SPIE
Final exam
Details Written exam with arithmetic and comprehension excercises
Minimum standard 50% of maximum points
Exam Type EN Klausur

Learning goals
Goal type Description
Knowledge Electronic Characteristics of Image Sensors
- Pixelfunction (Semiconductors / Photoelectric Effect, Photo-/Darkcurrent, Electrontransfer, Charge-/Voltage Conversion)
- CCD-Function (Chargetransfer, Binning, Multiple Output, CCD-Architectures)
- CMOS-Function (Read-Out, Exposurecontrol / Rolling Shutter, HDR-Sensors, Live-View)
- Comparison CCD-CMOS
- Modelling and Measurement of Electronic Characteristics (Linearization, Offset and Gain, Defectpixel, Determined Signalartifacts (FPN, DSNU, PRNU), Random Signalartifacts (real Noise), Influence of Temperature)
Optical Charateristics of Image Sensors
- Optical Stack (Antialiasing-Filter, Microlenses, IR-Filter, Color-Filter, Semiconductor-Topography)
- Modelling and Measurement of Optical Characteristics (Pixel-MTF, Vignetting, Spectral Sensitivity)
Image Correction
- Linearization/Gain- and Offset-Correction, Dark Image Subtraction (DSNU) Flatfielding (PRNU, Vignetting)
- Multiple-Output-Correction
Defectpixel- and Defectcluster-Correction
Expenditure classroom teaching
Type Attendance (h/Wk.)
Lecture 3
Tutorial (voluntary) 0
Special requirements
none
Accompanying material electronic slides as presented during lectures
electronic collection of excercises
Separate exam No

Learning goals
Goal type Description
Skills Measurement and Simulation of Characteristic Curve (Photodiode)
Measurement of Electronic Characteristics of Image Sensors
Measurement of Optical Characteristics of Image Sensors
Description and Documentation of Results
Expenditure classroom teaching
Type Attendance (h/Wk.)
Practical training 2
Tutorial (voluntary) 0
Special requirements
none
Accompanying material electronic description of lab-excercises
Separate exam Yes
Separate exam
Exam Type EN praxisnahes Szenario bearbeiten (z.B. im Praktikum)
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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