Evaluation of Denoising Algorithms for Multispectral Infrared Imaging
Description
Multispectral camera arrays are widely used in various applications, such as material classification or remote sensing. In such array setups, the cameras are equipped with infrared filters, each capturing a different spectral range. However, as the wavelength increases, the recorded images become noisier. This increased noise level leads to a substantial loss of information, which can strongly affect the quality of subsequent image analysis and classification tasks.
Details can be found in the following document:
Evaluation of Denoising Algorithms for Multispectral Infrared Imaging
Prerequisites
Experience in programming with Python is required. Additional knowledge in Deep Learning (PyTorch/TF) is useful.
Supervisor
Katja Kossira
katja.kossira@fau.de
room 06.022
Professor
Prof. Dr.-Ing. André Kaup
andre.kaup@fau.de
room 06.031