Wavelets and applications

Data Science, MSCI

Details

Credits

3 ECTS, C. 13.5h, L. 4.5h

Instructor

Kévin Polisano

Syllabus

Wavelets are basis functions widely used in a large variety of fields: signal and image processing, numerical schemes for partial differential equations, scientific visualization. This course will present the construction and practical use of the wavelet transform, and their applications to image processing : Continuous wavelet transform, Fast Wavelet Transform (FWT), compression (JPEG2000 format), denoising, inverse problems. The theory will be illustrated by several applications in medical imaging (segmentation, local tomography, …).

Assessment

Continuous assessment

Data Science MSCI