CMOS Image Sensor Design_Course information slides.pdf

CMOS Image Sensor Design_Course information slides

1. IN5350/IN9350 –Fall 2020
CMOS Image Sensor Design
Dr. Johannes Sølhusvik
Associate Adjunct Professor (Førsteamanuensis II)
[email protected], Mob: [phone]

2. My background
•MSc in EEE from Univ. of Strathclyde, Glasgow
•PhD in CIS from ENSAE, Toulouse
•Head of Sony (Norway) design centre
–10 analog circuit&layoutdesigners
–11 digital designers
–1 application engineer
•Associate Adjunct Professor at UiO
–20% part-time position
–Lecturer of IN5350/IN9350 –CMOS image sensor design
–Supervisor of MSc and PhD projects in CMOS image sensor design
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3. Teaching Assistant
•Name: Line Le
•Email: [email protected]
•Mobile: [phone]
•Assistance with obligatory exercises, project work, exam prep.
•Line is currently working on her MSc project entitled “Design of CMOS
image sensor with embedded per-column ramp ADCs”
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4. Course goal
•Learn how CMOS image sensors measure light and colour and output
digital images
•Understand the basics of the signal chain from light in to JPEG compressed
images out
•Focus on pixels and readout circuits, A/D conversion, image signal
processing, signal/noise ratio and dynamic range
•Hope to spur your interest in designing your own image sensor chip, for
instance in an MSc or PhD project.
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5. MSc projects: Design of CMOS image
sensor chips in 0.35um process
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Stianand Mathias
Johnny and Siri

6. Teaching
•Lectures on Tuesdays 1215- 1400 in lecture room Perl
–Exceptions announced on IN5350 home page
•Obligatory exercises (hand- outs after lecture)
–Also published on the IN5350 home page after lecture
–Submit by: following lecture (ie1week)
–Grade: pass/fail (must pass all obligsto take exam)
–One extra lecture&obligfor IN9350 PhD students
•1 hour group/lab work after each lecture
–Line and/or Johannes will be present to help
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7. Teaching(cont.)
•Mandatory project (25% of final grade)
–Topic&fieldis optional (discuss with Johannes):
•Analog design (e.g. pixel array and readout circuits)
•Digital design (e.g. readout sequencer, signal processing)
•Algorithm design (image processing in Matlab/Python/etc)
•Test and measurements using existing camera
–Presentation w/Q&A to course members
–Graded same time as exam
•Exam (75% of final grade)
–4hr written exam or oral (TBD)
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8. Course literature
•No course book available
•All course material covered in slides and exercises
•Recommended reading: Image Sensors and Signal Processing for Digital Still Cameras, by
Junichi Nakamura
•Other good imaging books:
http://cmos-image-sensor.blogspot.no/2010/06/list-of-image-
sensor-books.html
•Free download of state- of-the-art conference papers: www.imagesensors.org
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9. How to prepare for exam?
•Study all lecture slides
•Repeat obligatory exercises
•Review previous exam questions
–Will be distributed later
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