We addresses one of the key problems of image processing, which is restoration of a latent image from its degraded observations. As the main source of degradation we consider convolution with a unknown blur. The restoration task is a blind deconvolution problem, which is intrinsically ill-posed. We will study conditions under which the single-channel (single observation) case can be expressed...

Automatic processing of microscopic images allows (compared to manual processing by human operator) a better and more efficient acquisition of a large amount of information stored in the captured images. When working with time-lapse images, we need to segment cells from the background, to determine their exact boundaries and monitor their movements. These results can be very helpful to biologists...

Main purpose of the project is to facilitate czech geodetic enterprises to utilize progressive measuring and monitoring technology based on terrestrial radar interferometry (InSAR) to determine deformations of important and hazardous buildings, natural sites and localities such as dams, highway bridges, breast-walls, cooling towers, rocks, slide slopes, erosive sites and so on. Such hazardous...