Course Electronics and Signal Processing

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Responsible: Prof. Dr. Gregor Fischer

Course

Meets requirements of following modules(MID)

• in active programs
  • Ma MT2012 ESI

Course Organization

Version created 2013-04-29 VID 2 valid from WS 2012/13 valid to

Course identifiers Long name Electronics and Signal Processing CID F07_ESI CEID (exam identifier)

Contact hours per week (SWS) Lecture 2 Exercise (unsplit) Exercise (split) Lab 2 Project Seminar Tutorial(voluntary)

Total contact hours Lecture 30 Exercise (unsplit) Exercise (split) Lab 30 Project Seminar Tutorial (voluntary)

Max. capacity Exercise (unsplit) Exercise (split) Lab 18 Project Seminar

Total effort (hours): 150

Instruction language

• German, English on demand

Study Level

• Graduate

Prerequisites

• none

Textbooks, Recommended Reading

• R.W.G. Hunt, The Reproduction of Color
• M. Fairchild, Color Appearance Models, Wiley, 2nd ed.
• 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
• R. Gonzales/R. Woods/Eddins, Digital Image Processing Using Matlab, Prentice Hall, 2004
• W. Pratt, Digital Image Processing, Wiley, 4th ed., 2007
• A. Jain, Fundamentals of Digital Image Processing, Prentice Hall, 1988

Instructors

• Prof.Dr. Gregor Fischer
• Prof.Dr. Dirk Poggemann
• Prof. Dr. Klaus Ruelberg

Supporting Scientific Staff

• tba

Transcipt Entry

Electronics and Signal Processing

Assessment

Type
oE	oral exam, structured interrogation
oR

Total effort [hours]
oE	10

Frequency: 2-3/year

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Course components

Lecture/Exercise

Objectives

Contents

• image sensor electronics
  • production processes
  • sensor technologies
    • CCD
    • CMOS
      • integrating
      • non integrating
      • pixel electronics
  • sensor functionalities
    • pixel binning
    • global / rolling Shutter
    • multi-channel ADC
    • HDR-APS
    • liveview / video
    • System-On-Chip
  • sensor control
    • CCD
      • Analog Front End
      • Clamping
    • CMOS
    • analog hardware optimization
  • special sensors (high speed image sensors, IR image sensors, ...)
  • modelling and correction methods
• signal processing electronics
  • FPGA (programmable logic)
  • DSP (signal processors)
  • standard hardware (graphic cards)
• circuit design, programming und simulation
  • basic principles of system design for signal processing systems
  • FPGA development system
    • digital circuit design
    • programming
      • VHDL
      • graphic editor
      • libraries
    • logic simulation
    • circuit simulation
  • development system DSP (C) / OpenGL
    • programming C / OpenGL
    • debugging

Acquired Skills

• understand and explain the electrical functions and characteristics of different image sensor technologies
• derive and explain correction models for sensors from sensor characteristics
• define and compare characteristics of different signal processing technologies
• describe and classify the application of basic development tools for digital hardware development (FPGA) as well as software development (DSP, openGL) in the development process for signal processing
• understand the basics in system design of signal processing systems and identify decision criteria

Additional Component Assessment

• none

Lab

Objectives

Acquired Skills

• recognize and judge sensor artefacts (multiple output, hot pixel, defect pixel, ...)
• analyze and evaluate random and determined image noise
• understand and explain the influence of hardware design on sensor characteristics
• plan system design for signal processing and implement in appropriate technology

Operational Competences

• measure electronic sensor characteristics (dark current, noise, defect pixel)
• implement pixel design according to given specification/scientific literature and realize in simulation software
• demonstrate and compare effects of different optimization methods (hardware, software) on signal quality
• realization of a signal processing algorithm with different signal processing technologies and cost-benefit analysis
• present and document results

Additional Component Assessment

Type
fSC	supervised scenario study
fIN	interview on specific topics regarding to fSC

Contribution to course grade
fSC	attestation or not rated
fIN	interview on specific topics regarding to fSC

Frequency: 1/year