Structure-Based Low-Rank Model With Graph Nuclear Norm Regularization for Noise Removal
Nonlocal image representation methods, including group-based sparse coding and block-matching 3-D filtering, have shown their great performance in application to low-level tasks. The nonlocal prior is extracted from each group consisting of patches with similar intensities. Grouping patches based on...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 26(2017), 7 vom: 15. Juli, Seite 3098-3112
|
|---|
| 1. Verfasser: |
Ge, Qi
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Jing, Xiao-Yuan,
Wu, Fei,
Wei, Zhi-Hui,
Xiao, Liang,
Shao, Wen-Ze,
Yue, Dong,
Li, Hai-Bo |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2017
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|
|---|
| Schlagworte: | Journal Article |
|---|