MDI-TokyoTech / Spatio-Spectral-Structure-Tensor-Total-Variation-for-Hyperspectral-Image-Denoising-and-Destriping

Spatio-Spectral Structure Tensor Total Variation for Hyperspectral Image Denoising and Destriping

This is a demo code of the proposed method in the following reference:

S. Takemoto and S. Ono, ``Spatio-Spectral-Structure-Tensor-Total-Variation-for-Hyperspectral-Image-Denoising-and-Destriping.''

Update history: Apr. 4, 2024: v1.0

For more information, see the following

• Project website: https://www.mdi.c.titech.ac.jp/publications/s3ttv
• Preprint paper: https://arxiv.org/abs/2404.03313

How to use

1. Setting parameters

• Choose the image (JasperRidge or PaviaUniversity)
• Adjust the parameters
  • params.rho: parameter for the radii of the noise terms
  • params.blocksize: Block size of spatio-spectral structure tensor
  • params.stopcri: Stopping criterion
  • params.maxiter: Maximum number of iterations
  • params.disprate: Period to display intermediate results
• Set as use_GPU = 1 if you use GPU.

2. Run main.m

Reference

If you use this code, please cite the following paper:

@misc{Takemoto2024Spatio,
      title={Spatio-Spectral Structure Tensor Total Variation for Hyperspectral Image Denoising and Destriping}, 
      author={Takemoto, Shingo and Ono, Shunsuke},
      year={2024},
      eprint={2308.00500},
      archivePrefix={arXiv},
      primaryClass={eess.SP}
}