New mathematical models and algorithms for intelligent image processing inspired by the human visual cortex

Credit: Pock - TU Graz/ICGUsing the visual cortex as a model in the human brain, the research group led by ERC-award-winner Thomas Pock has developed new mathematical models and algorithms as the basis for faster and more intelligent image processing programs. Our visual cortex can capture images and recognize objects in a fraction of a second, even if they are barely visible or only fragmentary. One reason for this fantastic peak performance is the highly efficient hierarchical layer architecture of the visual cortex. He worked intensively on the question of how known modes of operation of the visual cortex can be calculated using mathematical models and transferred to image processing applications. Five years of research, 41 publications and one patent later, the researcher and his research group have accumulated extensive knowledge that enables new image processing algorithms for a wide variety of applications.