Signal and image processing is a field that focuses on the analysis, transformation, and interpretation of signals and images to extract meaningful information. We are engaged namely in texture analysis, image restoration, blind deconvolution, superresolution, and video tracking, and we also transfer the developed algorithms to embedded devices.
Selected Projects
Solving inverse problems for the analysis of fast moving objects
The aim of the project was to significantly improve image and video quality despite the limited technical capabilities of recording devices.
The major project objective is to develop seven-dimensional physically correct mathematical models of surface materials for general visualization conditions.
The detection of vortices, ripples and other singularities in a flowing liquid or gas has been the focus of attention of engineers and mathematicians for many decades.
Recognition of images degraded by blur is a complex and serious challenge. The blur may arise from wrong focus, diffraction, camera shake, object motion, atmospheric turbulence, and similar factors.
The objective of the project, which is carried out in cooperation with the Department of Histology and Embryology of Masaryk University, is to create a theoretical framework for analyzing dynamic processes in time-lapse microscopy.
We design and implement embedded systems for real time video processing. The title picture documents implementation of „Lucas Kanade Dense Optical Flow” algorithm in Full HD with 60 frames per second performance.
