Image processing for physicists

Sampling, quantization, field of view, dynamic range; affine coordinate transforms, basic intensity transforms; spatial filtering, convolution, correlation; morphological operations, segmentation. Image processing in fourier domain. Sampling, interpolation and pixel representations. Image representations. Characterization of detection systems. Imaging systems and wave propagation. Interferometric imaging and imaging of far-field fourier amplitudes. Tomography. Least squares optimization. Constrained optimization and maximum likelihood optimization.

Study Path: Department of Mathematics, informatics and geoscience. Mathematics.

Course Code: 390SM/358SM

Lecturer: Thibault Pierre

ECTS: 6

Basic Course (BC): knowledge in area of expertise

Maximum number of T4EU students: 10

Duration: 23 Sep 2024 – 18 Dec 2024

Time: Monday and Wednesday 2 p.m. – 4 p.m. CET