10.18453/rosdok_id00002542 Islam, Abm Tariqul Abm Tariqul Islam http://d-nb.info/gnd/1199020532 Universität Rostock 2019 004 Data processing Computer sciences 620 Engineering & allied operations 2019 en http://purl.uni-rostock.de/rosdok/id00002542 urn:nbn:de:gbv:28-rosdok_id00002542-3 The depth images from consumer depth cameras (e.g., structured-light/ToF devices) exhibit a substantial amount of artifacts (e.g., holes, flickering, ghosting) that needs to be removed for real-world applications. Existing methods cannot entirely remove them and perform slow. This thesis proposes a new real-time spatio-temporal depth image enhancement filter that completely removes flickering and ghosting, and significantly reduces holes. This thesis also presents a novel depth-data capture setup and two data reduction methods to optimize the performance of the proposed enhancement method.