Noise-robust video super-resolution using an adaptive spatial-temporal filter
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| 008 | 210128e20151101xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s11042-014-2079-y |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s11042-014-2079-y | ||
| 245 | 0 | 0 | |a Noise-robust video super-resolution using an adaptive spatial-temporal filter |h [Elektronische Daten] |c [Jing Hu, Yupin Luo] |
| 520 | 3 | |a 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. | |
| 540 | |a Springer Science+Business Media New York, 2014 | ||
| 690 | 7 | |a Video super-resolution |2 nationallicence | |
| 690 | 7 | |a Interpolation-based |2 nationallicence | |
| 690 | 7 | |a Mobile-neighborhood strategy |2 nationallicence | |
| 690 | 7 | |a Adaptive sharpening |2 nationallicence | |
| 700 | 1 | |a Hu |D Jing |u Department of Automation, Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, 100084, Beijing, China |4 aut | |
| 700 | 1 | |a Luo |D Yupin |u Department of Automation, Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, 100084, Beijing, China |4 aut | |
| 773 | 0 | |t Multimedia Tools and Applications |d Springer US; http://www.springer-ny.com |g 74/21(2015-11-01), 9259-9278 |x 1380-7501 |q 74:21<9259 |1 2015 |2 74 |o 11042 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s11042-014-2079-y |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s11042-014-2079-y |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Hu |D Jing |u Department of Automation, Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, 100084, Beijing, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Luo |D Yupin |u Department of Automation, Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, 100084, Beijing, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Multimedia Tools and Applications |d Springer US; http://www.springer-ny.com |g 74/21(2015-11-01), 9259-9278 |x 1380-7501 |q 74:21<9259 |1 2015 |2 74 |o 11042 | ||