Synthetic hyperspectral array video database with applications to cross-spectral reconstruction and hyperspectral video coding.

In this paper, a synthetic hyperspectral video database is introduced. Since it is impossible to record ground-truth hyperspectral videos, this database offers the possibility to leverage the evaluation of algorithms in diverse applications. For all scenes, depth maps are provided as well to yield the position of a pixel in all spatial dimensions as well as the reflectance in spectral dimension.

Structure-preserving spectral reflectance estimation using guided filtering.

Light spectra are a very important source of information for diverse classification problems, e.g., for discrimination of materials.