During doctoral studies, my main research topic was space-variant deblurring of images due to camera motion (image stabilization) and defocus. Since then my research interests extpanded to other areas of image restoration, such as noise reduction and super-resolution.
I participate in the organization of the Spring School of Image Processing, a popular meeting point of students from several czech institutions involved in image processing research (see Seminars).
I am on a one-year stay at Heriot-Watt University in Edinburgh, UK.
My paper "Removing boundary artifacts for realtime iterated shrinkage deconvolution" was accepted for publication
in the IEEE journal Transactions on Image Processing. A link should come in a few weeks.
A book Super-resolution imaging edited by Peyman Milanfar was published in September 2010. The book covers both practical and theoretical aspects of this field. It describes all main types of super-resolution techniques, including variational, Bayesian, feature based, learning-based, locally adaptive, and nonparametric methods. We have a hand in this book with chapter
Michal Šorel, Filip Šroubek and Jan Flusser, "Towards superresolution in the presence of spatially varying blur".