Name
Abstract | ||
|---|---|---|
Compressive spectral imaging (CSI) acquires compressed observations of a spectral scene by applying different coding patterns at each spatial location and then performing a spectral-wise integration. Relying on compressive sensing, spectral image reconstruction is achieved by using nonlinear and relatively expensive optimization-based algorithms. In the CSI literature, several works have focused o... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/JSTSP.2018.2878293 | IEEE Journal of Selected Topics in Signal Processing |
Keywords | Field | DocType |
Apertures,Image coding,Three-dimensional displays,Clustering algorithms,Imaging | Iterative reconstruction,Computer vision,Signal processing,Spatial correlation,Spectral imaging,Coded aperture,Pattern recognition,Subspace topology,Computer science,Artificial intelligence,Cluster analysis,Compressed sensing | Journal |
Volume | Issue | ISSN |
12 | 6 | 1932-4553 |
Citations | PageRank | References |
3 | 0.44 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carlos Hinojosa | 1 | 3 | 0.44 |
| Jorge Bacca | 2 | 6 | 5.25 |
| Henry Arguello | 3 | 90 | 30.83 |