Cargando…
Spectral Camera based on Ghost Imaging via Sparsity Constraints
The image information acquisition ability of a conventional camera is usually much lower than the Shannon Limit since it does not make use of the correlation between pixels of image data. Applying a random phase modulator to code the spectral images and combining with compressive sensing (CS) theory...
Autores principales: | Liu, Zhentao, Tan, Shiyu, Wu, Jianrong, Li, Enrong, Shen, Xia, Han, Shensheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4867594/ https://www.ncbi.nlm.nih.gov/pubmed/27180619 http://dx.doi.org/10.1038/srep25718 |
Ejemplares similares
-
High-resolution far-field ghost imaging via sparsity constraint
por: Gong, Wenlin, et al.
Publicado: (2015) -
Three-dimensional ghost imaging lidar via sparsity constraint
por: Gong, Wenlin, et al.
Publicado: (2016) -
Far-field super-resolution ghost imaging with a deep neural network constraint
por: Wang, Fei, et al.
Publicado: (2022) -
Spectral Representation via Data-Guided Sparsity for Hyperspectral Image Super-Resolution †
por: Han, Xian-Hua, et al.
Publicado: (2019) -
Spatial Domain Terahertz Image Reconstruction Based on Dual Sparsity Constraints
por: Ren, Xiaozhen, et al.
Publicado: (2021)