Name
Abstract | ||
|---|---|---|
In this brief, we provide an efficient scheme for performing deconvolution of large hyperspectral images under a positivity constraint, while accounting for spatial and spectral smoothness of the data. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TIP.2012.2216280 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
deconvolution,hyperspectral imaging,image restoration,fast positive deconvolution,hyperspectral images,image restoration,positivity constraint,spatial smoothness,spectral smoothness,Cross-spectral prior information,hyperspectral images,image restoration,positivity,regularized least squares | Computer vision,Full spectral imaging,Pattern recognition,Deconvolution,Hyperspectral imaging,Artificial intelligence,Image restoration,Smoothness,Mathematics | Journal |
Volume | Issue | ISSN |
22 | 2 | 1057-7149 |
Citations | PageRank | References |
8 | 0.52 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Simon Henrot | 1 | 70 | 4.62 |
| Charles Soussen | 2 | 113 | 15.21 |
| David Brie | 3 | 130 | 24.28 |