| | ---
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| | license: unknown
|
| | ---
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| |
|
| | # Description
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| |
|
| | 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.
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| |
|
| | The spectral images are reflectance images, which are normalized by the intensity of the reference white of Spectralon (calibrated 99% reflectance).
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| |
|
| | # Capture setup
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| | - Camera: Pointgrey Grasshopper 9.1MP Monochromatic (GS3-U3-91S6M-C)
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| | - Lens: Jenoptik UV-VIS-IR 60mm f/4 apochromatic lens
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| | - Filters: Liquid Crystal Tunable Filters (VariSpec VIS 400-720)
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| | - Light Source: Xenon Illumination (Thorlab HPLS-30-4)
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| |
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| |
|
| | # How to read the files
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| |
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| | An example MATLAB code for reading a hyperspectral EXR file is given in
|
| | `example.m` under `code`.
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| | For `exrreadchannels`, you can refer to the GitHub repository:
|
| | <https://github.com/KAIST-VCLAB/openexr-matlab>
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| |
|
| | # Credits
|
| |
|
| | The dataset was originally collected from:
|
| | <http://vclab.kaist.ac.kr/siggraphasia2017p1/kaistdataset.html>
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| |
|
| | If you use this dataset, please cite:
|
| | ```bibtex
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| | @Article{DeepCASSI:SIGA:2017,
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| | author = {Inchang Choi and Daniel S. Jeon and Giljoo Nam
|
| | and Diego Gutierrez and Min H. Kim},
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| | title = {High-Quality Hyperspectral Reconstruction
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| | Using a Spectral Prior},
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| | journal = {ACM Transactions on Graphics (Proc. SIGGRAPH Asia 2017)},
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| | year = {2017},
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| | volume = {36},
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| | number = {6},
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| | pages = {218:1-13},
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| | doi = "10.1145/3130800.3130810",
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| | url = "http://dx.doi.org/10.1145/3130800.3130810",
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| | }
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| | ```
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| |
|
