---
license: unknown
---

# Description

The `exr` folder contains a high-resolution dataset, consisting of 30 hyperspectral images covering a wide spectral range.  
The acquisitions have 31 channels in the range 420-720 nm, with a separation of 10 nm.

The spectral images are reflectance images, which are normalized by the intensity of the reference white of Spectralon (calibrated 99% reflectance).

# Capture setup
- Camera: Pointgrey Grasshopper 9.1MP Monochromatic (GS3-U3-91S6M-C)
- Lens: Jenoptik UV-VIS-IR 60mm f/4 apochromatic lens
- Filters: Liquid Crystal Tunable Filters (VariSpec VIS 400-720)
- Light Source: Xenon Illumination (Thorlab HPLS-30-4)


# How to read the files

An example MATLAB code for reading a hyperspectral EXR file is given in
`example.m` under `code`.
For `exrreadchannels`, you can refer to the GitHub repository:
<https://github.com/KAIST-VCLAB/openexr-matlab>

# Credits

The dataset was originally collected from:
<http://vclab.kaist.ac.kr/siggraphasia2017p1/kaistdataset.html>

If you use this dataset, please cite:
```bibtex
@Article{DeepCASSI:SIGA:2017,
  author  = {Inchang Choi and Daniel S. Jeon and Giljoo Nam
             and Diego Gutierrez and Min H. Kim},
  title   = {High-Quality Hyperspectral Reconstruction
             Using a Spectral Prior},
  journal = {ACM Transactions on Graphics (Proc. SIGGRAPH Asia 2017)},
  year    = {2017},
  volume  = {36},
  number  = {6},
  pages   = {218:1-13},
  doi     = "10.1145/3130800.3130810",
  url     = "http://dx.doi.org/10.1145/3130800.3130810",
}
```