Learning-based video compression for thermography data

Description

Thermographic data recorded by thermal imaging cameras offers a valuable opportunity to
monitor and analyze the thermal properties of people, objects and buildings. Compared to
conventional video data, thermographic data differs in its special representation of heat
distributions, which not only contain a different type of image information, but also
have different compression requirements. The efficient storage and transmission of
this data is crucial for numerous applications, from industrial testing processes to
medical diagnostics.

Details can be found in the following document:
https://www.lms.tf.fau.eu/files/2024/08/Aushang_en.pdf

Prerequisites

Experience with python programming, image and video signal processing, and machine learning.

Kategorie: Chair