Image Processing & Computer Vision, FHNW School of Computer Science

In this research area, we develop computational methods for the automated analysis and interpretation of visual information. This includes the reconstruction of images from raw data, the segmentation and classification of image regions, as well as the detection and recognition of relevant objects in image material from a wide range of sources.

A particular focus lies on techniques for data compression and dimensionality reduction, enabling the efficient handling of large-scale image datasets—for example in medical imaging, remote sensing, or industrial monitoring. By combining classical image processing methods with modern computer vision approaches, we deliver scalable, reproducible, and high-precision analytical solutions.

We are interested in collaborating with partners who seek to systematically analyse, classify, or interpret image-based data—whether in research, quality assurance, environmental monitoring, or security-critical domains.