/rTVRA-Release

Source Code of rTVRA for Hyperspectral Image Reconstruction on Dual-camera Compressive Hyperspectral Imaging System

Primary LanguageMATLAB

rTVRA-Release

Source code of rTVRA (Shipeng Zhang, Hua Huang, and Ying Fu. Fast parallel implementation of dual-camera compressive hyperspectral imaging system. IEEE Transactions on Circuits and Systems for Video Technology, 2018, 29(11): 3404-3414.) for hyperspectral image reconstruction on dual-camera compressive hyperspectral imaging system (DCCHI).

Data

We provide the real captured data on our own hardware implementation of the dual-camera compressive hyperspectral imaging system, including the measurement of 100 frames hyperspectral video and 2 hyperspectral images. It can be download from RealData.

Usage

  1. The demo for the real hyperspectral video reconstruction:

Demo_Video.m

  1. The demo for the real hyperspectral image reconstruction.

Demo_Image.m

  1. Code of the rTVRA algorithm.

rTVRA.m

Citation

In case you need to use our data and code, please cite the following two papers.

@article{zhang2018fast,
title={Fast parallel implementation of dual-camera compressive hyperspectral imaging system},
author={Zhang, Shipeng and Huang, Hua and Fu, Ying},
journal={IEEE Transactions on Circuits and Systems for Video Technology},
volume={29},
number={11},
pages={3404--3414},
year={2018}
}

@article{wang2015dual,
title={Dual-camera design for coded aperture snapshot spectral imaging},
author={Wang, Lizhi and Xiong, Zhiwei and Gao, Dahua and Shi, Guangming and Wu, Feng},
journal={Applied Optics},
volume={54},
number={4},
pages={848--858},
year={2015}
}