Open University

Tampere

Imaging Sensors and Systems, Lectures

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Advanced studies

Faculty of Information Technology and Communication Sciences

Data Processing and Information Technology

Apply for Open University studies by using the following links:<ul><li><a href="https://tau-avoin.ilmoittaudu.fi/lobby/?realization=J-otm-72a9502d-c58d-4714-870a-1df4d7299d35-tampere-COMPSGN350" target="_blank">COMP.SGN.350 Imaging Sensors and Systems, lectures, Tampere</a></li></ul>You can find a link to the Open University Admissions service and application instructions on the <a href="https://www.tuni.fi/en/study-with-us/open-higher-education-studies/open-university/applying-open-university">Applying to Open University studies</a> page.Some of the studies require prior studies. For example, studying intermediate studies may require some completed basic studies. These are described on the Information about studies tab of the study unit under prior requirements.When you have been admitted to the studies, you must enrol separately via the Sisu information system for the implementation of the unit of study and, for example if set, for a practise group of your choice. You will receive instructions on how to do this by e-mail after you have confirmed your acceptance of the study place by paying the required fee.

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Hervanta Campus

Contact teaching

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Nowadays, imaging sensors appear in variety of applications, such as, photography, surveillance, 3D scene sensing, material analysis. To maximize the efficiency and usefulness of imaging sensors, it is important to understand the underlying principles of image formation, used sensor technologies, and necessary post-processing algorithms on the sensed data. In this course we will make an in-depth analysis of all components present in a camera system together with the image processing algorithm required for generating a desired output image. Topics covered in the course include: Camera image formation, image sensor architectures, performance analysis of an imaging system, camera pipeline modules, and overview of different imaging sensors.

<h2>Common</h2><h3>Lecture: </h3>26.08.2024 10:00 - 12:00, TAU Konetalo K1705 auditorio (264) 30.08.2024 10:00 - 12:00, TAU Konetalo K4242 opetustila (48) 02.09.2024 10:00 - 12:00, TAU Konetalo K1705 auditorio (264) 06.09.2024 10:00 - 12:00, TAU Konetalo K4242 opetustila (48) 09.09.2024 10:00 - 12:00, TAU Konetalo K1705 auditorio (264) 13.09.2024 10:00 - 12:00, TAU Konetalo K4242 opetustila (48) 16.09.2024 10:00 - 12:00, TAU Konetalo K1705 auditorio (264) 20.09.2024 10:00 - 12:00, TAU Konetalo K4242 opetustila (48) 23.09.2024 10:00 - 12:00, TAU Konetalo K1705 auditorio (264) 27.09.2024 10:00 - 12:00, TAU Konetalo K4242 opetustila (48) 30.09.2024 10:00 - 12:00, TAU Konetalo K1705 auditorio (264) 04.10.2024 10:00 - 12:00, TAU Konetalo K4242 opetustila (48) 07.10.2024 10:00 - 12:00, TAU Konetalo K1705 auditorio (264) 11.10.2024 10:00 - 12:00, TAU Konetalo K4242 opetustila (48)

After completing the course, the student will understand the camera image formation pipeline. He/she will be able to model and evaluate the performance of an imaging system. He/she will be able to process raw sensor images by variety of methods in order to get an image with desired properties. He/she will also understand the principle of operation and know how to use advance imaging sensors, e.g. Time-of-Flight, event, multispectral, cameras.

<h2>Prerequisites</h2>Any basic signal processing course. <h2>Recommended Prerequisites</h2><ul><li>Introduction to Image and Video Processing, COMP.SGN.110, 5 cr</li><li>Introduction to Signal Processing, COMP.SGN.100, 5 cr</li></ul>

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Imaging Sensors and Systems, Lectures

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Imaging Sensors and Systems, 5 cr

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Imaging Sensors and Systems, Lectures