Learning Non-Local Spatial Correlations To Restore Sparse 3D Single-Photon Data
This paper presents a new algorithm for the learning of spatial correlation and non-local restoration of single-photon 3-Dimensional Lidar images acquired in the photon starved regime (fewer or less than one photon per pixel) or with a reduced number of scanned spatial points (pixels). The algorithm...
Ausführliche Beschreibung
Bibliographische Detailangaben
Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - (2019) vom: 11. Dez.
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1. Verfasser: |
Chen, Songmao
(VerfasserIn) |
Weitere Verfasser: |
Halimi, Abderrahim,
Ren, Ximing,
McCarthy, Aongus,
Su, Xiuqin,
McLaughlin, Stephen,
Buller, Gerald S |
Format: | Online-Aufsatz
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Sprache: | English |
Veröffentlicht: |
2019
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Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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Schlagworte: | Journal Article |