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Hyperspectral-Image-Denoising-Toolbox-V2

This toolbox provides the codes to reproduce the results below. In case of using the toolbox please cite our overview paper Image Restoration for Remote Sensing: Overview and Toolbox

This toolbox contains the following HSI denoising methods: 3D Wavelets,FORPDN, and HyRes (this methods can be found in Hyperspectral Image Denoising Matlab Toolbox), SSTV, NAIRLMA, FastHyDe, DIP. For DIP, you need to download the original toolbox and copy the python file (DN4Rev_Real.py) into the master folder (change the path, line 48 of DN4Rev_Real.py, to the mat file of Indian Pine) and run. Addtionally, you need to install the dependencies (see readme)

To reproduce the resutls below you can find the Indian Pines dataset in Hyperspectral Image Denoising Matlab Toolbox and use the matlab and python demos provided to run the codes

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