Cargando…
Propagation phasor approach for holographic image reconstruction
To achieve high-resolution and wide field-of-view, digital holographic imaging techniques need to tackle two major challenges: phase recovery and spatial undersampling. Previously, these challenges were separately addressed using phase retrieval and pixel super-resolution algorithms, which utilize t...
Autores principales: | Luo, Wei, Zhang, Yibo, Göröcs, Zoltán, Feizi, Alborz, Ozcan, Aydogan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4786813/ https://www.ncbi.nlm.nih.gov/pubmed/26964671 http://dx.doi.org/10.1038/srep22738 |
Ejemplares similares
-
Corrigendum: Propagation phasor approach for holographic image reconstruction
por: Luo, Wei, et al.
Publicado: (2016) -
Pixel super-resolution using wavelength scanning
por: Luo, Wei, et al.
Publicado: (2016) -
Sparsity-based multi-height phase recovery in holographic microscopy
por: Rivenson, Yair, et al.
Publicado: (2016) -
Demosaiced pixel super-resolution for multiplexed holographic color imaging
por: Wu, Yichen, et al.
Publicado: (2016) -
Phase recovery and holographic image reconstruction using deep learning in neural networks
por: Rivenson, Yair, et al.
Publicado: (2018)