Open University

Tampere

Advanced Image Processing, Lectures

<p>Contact information<br>Email: <span class="spamspan"><span class="u">open.studies.tau</span> [at] <span class="d">tuni.fi</span></span><br>Phone: 0294 520 200</p><p>More information concerning Open University studies<br><a href="https://www.tuni.fi/open-university">tuni.fi/open-university</a></p>

Advanced studies

Faculty of Information Technology and Communication Sciences

Technology and Natural Sciences

<p>Apply for Open University studies by using the following links:</p><p></p><ul><li><a href="https://tau-avoin.ilmoittaudu.fi/lobby/?realization=J-otm-3e66f22c-5fa5-487c-bc04-44dfbcce5418_2023-tampere-COMPSGN300" target="_blank">COMP.SGN.300 Advanced Image Processing, lectures, Tampere</a></li></ul><p>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.</p><p>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.</p><p>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.</p>

English

Hervanta Campus

Contact teaching

<p>Look information at <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>.</p>

<h5>Core content</h5><ul><li>Transform-based image representation: unitary (Fourier, DCT, wavelets), redundant (pyramids, wavelet packets)</li><li>Image data compression (lossless, near-lossless, lossy)</li><li>image restoration (denoising, deblurring, demosaicing, inpainting, etc.)</li><li>study of selected topics in image processing: projects</li></ul>

Students get in-depth view of selected advanced topics of image processing and perform practical tasks in image processing laboratory.

<h2>Prerequisites</h2><h5>Prerequisite</h5><ul><li>Code: SGN-11000</li><li>Name: Basic Course in Signal Processing</li><li>ECTS credits: 5</li><li>Mandatory: Mandatory</li></ul><h5>Prerequisite</h5><ul><li>Code: SGN-11007</li><li>Name: Introduction to Signal Processing</li><li>ECTS credits: 5</li><li>Mandatory: Mandatory</li><li>Alternativity: Either SGN-11006 or SGN-11007</li></ul><h5>Prerequisite</h5><ul><li>Code: SGN-12007</li><li>Name: Introduction to Image and Video Processing</li><li>ECTS credits: 5</li><li>Mandatory: Mandatory</li><li>Alternativity: Either SGN-12006 or SGN-12007 or SGN-12000</li></ul><h2>Compulsory Prerequisites</h2><ul><li>Introduction to Signal Processing, COMP.SGN.100, 5 cr</li></ul>

<h5>Material</h5><ul><li>Type: Lecture slides</li><li>Author: K. Egiazarian</li><li>Exam material: No</li><li>Language: English</li></ul><h5>Material</h5><ul><li>Type: Book</li><li>Name: Digital Image Processing</li><li>Author: R. Gonzalez and R. Woods</li><li>Exam material: No</li><li>Language: English</li></ul><h5>Material</h5><ul><li>Type: Book</li><li>Name: Local Approximations in Signal and Image Processing</li><li>Author: V.Katkovnik, K.Egiazarian, and J.Astola</li><li>Exam material: No</li><li>Language: English</li></ul>

Advanced Image Processing, Lectures

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Advanced Image Processing, 5 cr

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