CMOS Image Sensor Design_Course information slides.pdf
- 1. IN5350/IN9350 – Fall 2020 CMOS Image Sensor Design Dr. Johannes Sølhusvik Associate Adjunct Professor (Førsteamanuensis II) johasol@ifi.uio.no, Mob: 92412647
- 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&layout designers – 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 2
- 3. Teaching Assistant • Name: Line Le • Email: line.le@fys.uio.no • Mobile: 45 88 58 36 • 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” 3
- 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. 19.08.2020 4
- 5. MSc projects: Design of CMOS image sensor chips in 0.35um process 19.08.2020 5 Stian and 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 (ie 1week) – Grade: pass/fail (must pass all obligs to take exam) – One extra lecture&oblig for IN9350 PhD students • 1 hour group/lab work after each lecture – Line and/or Johannes will be present to help 19.08.2020 6
- 7. Teaching (cont.) • Mandatory project (25% of final grade) – Topic&field is 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) 19.08.2020 7
- 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 19.08.2020 8
- 9. How to prepare for exam? • Study all lecture slides • Repeat obligatory exercises • Review previous exam questions – Will be distributed later 19.08.2020 9