Arvutiteaduse instituut
  1. Kursused
  2. 2022/23 kevad
  3. Arvutuslik pildistamine (LTAT.02.025)
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Arvutuslik pildistamine 2022/23 kevad

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Computational Imaging

Computational imaging systems have various applications in electronics, scientific imaging, medical imaging, microscopy, remote sensing and surveillance systems. In this course we discuss digital photography, basic image processing, convolutional neural networks and transformer neural networks for image processing, denoising, deconvolution, single pixel imaging, inverse problems in imaging, proximal gradient methods, introduction to wave optics, time-of-flight imaging, end-to-end optimization of optics and imaging processing. Special emphasis is on applied image processing and solving for biological problem of microsocpy images. Students learn to apply material by implementing and investigating image processing algorithms in Python. Term project.

Course Goals

Students will learn about computational imaging methods and applications with a focus on solving problems in imaging, such as denoising, deconvolution, single-pixel and microsocpy imaging. The course cover classic computer vision algorithms, data-driven approaches using convolutional neural networks (CNNs), and recent Transformer Neural Networks. No prerequisites

Lectures

Lecture (hybrid mode) : Monday 16:15 - 18.00 Delta - 2047 Kallol Roy, Osamu Shimmi

Zoom Link (Lecture) : https://ut-ee.zoom.us/j/94466503325?pwd=Skd1NTlyTHNpR09uNWRzWGZHSmhLQT09

Meeting ID: 944 6650 3325

Passcode: 579005

Guest Lecture: Indrek Virro, Tormi Lillerand

Industry Lecture: To be decided

Main content of lectures has been pre-recorded and available online on Panopto.ut.ee

Practice session

Tuesday 10:15-12:00 Kallol Roy, Nesma Almoazamy Delta - 2048

Zoom Link (Practice Session): https://ut-ee.zoom.us/j/98961931091?pwd=U2c3SUdpY1lnMDBUcE5FdE02MFh6Zz09

Meeting ID: 989 6193 1091

Passcode: 850733

No practice session in the first week

(every week starting from week 2; Registration via SIS/ÕIS ois.ut.ee )

Contacts

  • Responsible Lecturer: Kallol Roy, kallol.roy@ut.ee (Delta:3082), Osamu Shimmi osamu.shimmi@ut.ee (Institute Of Modelcular and Cell Biology)
  • Teaching assistants:
  • Nesma Almoazamy nesma.mahmoud@ut.ee

Course Forum

Use Slack ai-for-imaging and email for questions and discussions https://computational-4q33521.slack.com/archives/C04J56SA5CY

Exam dates and times:

To be decided.

Poster session:

  • Project final dates - To be decided
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