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Course unit, curriculum year 2024–2025
COMP.SGN.360

Imaging Systems Laboratory, 5 cr

Tampere University
Teaching periods
Course code
COMP.SGN.360
Language of instruction
English
Academic years
2024–2025, 2025–2026, 2026–2027
Level of study
Advanced studies
Grading scale
General scale, 0-5
Persons responsible
Responsible teacher:
Atanas Gotchev
Responsible organisation
Faculty of Information Technology and Communication Sciences 100 %
Coordinating organisation
Computing Sciences Studies 100 %
Common learning outcomes
Information technology and digital skills
Employability skills
Innovation
Learning skills and critical thinking
Sustainable development goals
Goal 9: Industry, Innovation and Infrastructure
Goal 13: Climate Action

I. Theory and methods

  1. Measurement and analysis of modulation transfer function (MTF) of imaging systems
  2. Measurement and analysis of spectral response of imaging sensors
  3. Noise models and noise profiling of imaging sensors
  4. Measurement of camera response function


II. Systems and applications

  1. HDR and tone mapping
  2. Calibration of Multi-camera and Multi-sensor systems
  3. Time-of-flight sensing and 3D reconstruction
  4. Computational hyper-spectral imaging systems
Learning outcomes
Compulsory prerequisites
Recommended prerequisites
Studies that include this course
Completion option 1
To complete the course, the student must attend 7-8 lectures and complete lab works related with the lectures

Participation in teaching

No scheduled teaching