caa a22 4500 605447055 CHVBK 20210128100130.0 cr unu---uuuuu 210128e20151101xx s 000 0 eng 10.1007/s11042-014-2079-y doi (NATIONALLICENCE)springer-10.1007/s11042-014-2079-y Noise-robust video super-resolution using an adaptive spatial-temporal filter [Elektronische Daten] [Jing Hu, Yupin Luo] In this paper, we introduce a new interpolation-based super-resolution scheme for super-resolving a low-resolution video that contains large-scale local motions and/or heavy noise. Our scheme leverages an efficient space-time descriptor to adapt the interpolation kernel to the video's spatial and temporal structures. Nevertheless, in the presence of large-scale local motions, the kernel suffers from tracking the motions incorrectly, leading to inaccurate temporal averaging. To address this problem, prior to computing the interpolation kernel, a mobile-neighborhood strategy that can identify the appropriate neighborhoods in adjacent frames is applied to neutralize the large-scale motions. Furthermore, we incorporate an adaptive sharpening technique into the kernel computation to remove the background noise and enhance the fine details simultaneously. Extensive experimental results on real-world videos show that the proposed method outperforms certain other state-of-the-art video super-resolution algorithms both visually and quantitatively, particularly in the presence of large-scale motions and/or heavy noise. Springer Science+Business Media New York, 2014 Video super-resolution nationallicence Interpolation-based nationallicence Mobile-neighborhood strategy nationallicence Adaptive sharpening nationallicence Hu Jing Department of Automation, Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, 100084, Beijing, China aut Luo Yupin Department of Automation, Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, 100084, Beijing, China aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/21(2015-11-01), 9259-9278 1380-7501 74:21<9259 2015 74 11042 https://doi.org/10.1007/s11042-014-2079-y text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11042-014-2079-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Hu Jing Department of Automation, Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, 100084, Beijing, China aut NATIONALLICENCE 700 1- Luo Yupin Department of Automation, Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, 100084, Beijing, China aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/21(2015-11-01), 9259-9278 1380-7501 74:21<9259 2015 74 11042