In Video Signal Processing and Transmission cutting-edge algorithms for the acquisition, improvement and reconstruction of images are developed. Besides single-image cameras heterogeneous camera arrays are researched, where individual camera parameters such as spatial resolution, dynamic range, spectral sensitivity or polarization may differ among the involved cameras. In the field of image and video analysis approaches from the field of machine learning are mainly used. One possible area of application is inspection technology. Furthermore, the chair researches on the latest issues in image and video coding. Among others, special adjustments and enhancements of already existing coding standards for special cases such as medical data, screen content or fish-eye video sequences are examined.

In the field of Audio and Acoustic Signal Processing model- and data-based algorithms are researched for acoustic human/machine-interaction and for the analysis and playback of real and virtual acoustic scenes. These involve different application, e.g., telecommunication and telepresence, hearing aid devices, smart homes, human/machine-communication or immersive multimedia environments. As a key characteristic, the usage of the spatial dimension via multi-channel signal processing plays a decisive role in many projects.

In the field of Machine Learning in Signal Processing, convex optimization based and deep learning based algorithms are analyzed mathematically. The goal is to understand why these methods work well, and, based on this understanding, propose further improvements. The methods are also used to solve practical problems. The applications include: image processing in self-driving cars, point cloud segmentation algorithms, feature detection and image enhancement for geographic surveillance, signal processing for hearing aid devices, super-resolution microscopy.