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Out-of-box Hyperspectral Image Restoration Toolbox and Benchmark

HSIR

PyPI Documentation Status

Out-of-box Hyperspectral Image Restoration Toolbox

Denoising for remotely sensed images from QRNN3D

Install

pip install hsir

Usage

Here are some runable examples, please refer to the code for more options.

python hsirun.train -a hsir.model.qrnn3d.qrnn3d
python hsirun.test -a hsir.model.qrnn3d.qrnn3d -r qrnn3d.pth -t icvl_512_50

Benchmark

Pretrained Models | Training Log | Datasets
Baidu Drive's Share Code=HSIR

Supported Models
Gaussian Denoising on ICVL
Sigma=30 Sigma=50 Sigma=70 Sigma=Blind
Params(M) Runtime(s) FLOPs PSNR SSIM SAM PSNR SSIM SAM PSNR SSIM SAM PSNR SSIM SAM
Noisy 18.59 0.110 .0807 14.15 0.046 0.991 11.23 0.025 1.105 17.34 0.114 0.859
BM4D 154 38.45 0.934 0.126 35.60 0.889 0.169 33.70 0.845 0.207 37.66 0.914 0.143
TDL 18 40.58 0.957 0.062 38.01 0.932 0.085 36.36 0.909 0.105 39.91 0.946 0.072
ITSReg 907 41.48 0.961 0.088 38.88 0.941 0.098 36.71 0.923 0.112 40.62 0.953 0.087
LLRT 627 41.99 0.967 0.056 38.99 0.945 0.075 37.36 0.930 0.087 40.97 0.956 0.064
KBR 1755 41.48 0.984 0.088 39.16 0.974 0.100 36.71 0.961 0.113 40.68 0.979 0.080
WLRTR 1600 42.62 0.988 0.056 39.72 0.978 0.073 37.52 0.967 0.095 41.66 0.983 0.064
NGmeet 166 42.99 0.989 0.050 40.26 0.980 0.059 38.66 0.974 0.067 42.23 0.985 0.053
HSID 0.40 3 38.70 0.949 0.103 36.17 0.919 0.134 34.31 0.886 0.161 37.80 0.935 0.116
QRNN3D 0.86 0.73 42.22 0.988 0.062 40.15 0.982 0.074 38.30 0.974 0.094 41.37 0.985 0.068
TS3C 0.83 0.95 42.36 0.986 0.079 40.47 0.980 0.087 39.05 0.974 0.096 41.52 0.983 0.085
GRUNet 14.2 0.87 42.84 0.989 0.052 40.75 0.983 0.062 39.02 0.977 0.080 42.03 0.987 0.057
Complex Denoising on ICVL
non-iid g+stripe g+deadline g+impulse mixture
Params(M) Runtime(s) FLOPs PSNR SSIM SAM PSNR SSIM SAM PSNR SSIM SAM PSNR SSIM SAM PSNR SSIM SAM
Noisy 18.25 0.168 0.898 17.80 0.159 0.910 17.61 0.155 0.917 14.80 0.114 0.926 14.08 0.099 0.944
LRMR 32.80 0.719 0.185 32.62 0.717 0.187 31.83 0.709 0.227 29.70 0.623 0.311 28.68 0.608 0.353
LRTV 33.62 0.905 0.077 33.49 0.905 0.078 32.37 0.895 0.115 31.56 0.871 0.242 30.47 0.858 0.287
NMoG 34.51 0.812 0.187 33.87 0.799 0.265 32.87 0.797 0.276 28.60 0.652 0.486 27.31 0.632 0.513
TDTV 38.14 0.944 0.075 37.67 0.940 0.081 36.15 0.930 0.099 36.67 0.935 0.094 34.77 0.919 0.113
HSID 0.40 3 38.40 0.947 0.095 37.77 0.942 0.104 37.65 0.940 0.102 35.00 0.899 0.174 34.05 0.888 0.181
TS3C 0.83 0.95 41.12 0.986 0.069 40.66 0.985 0.077 39.38 0.982 0.100 35.92 0.951 0.205 34.36 0.945 0.230
QRNN3D 0.86 0.73 42.79 0.978 0.052 42.35 0.976 0.055 42.23 0.976 0.056 39.23 0.945 0.109 38.25 0.938 0.107
GRUNet 14.2 0.87 42.89 0.992 0.047 42.39 0.991 0.050 42.11 0.991 0.050 40.70 0.985 0.067 38.51 0.981 0.081

Citation

If you find this repo helpful, please considering citing us.

@misc{hsir,
	author={Zeqiang Lai, Miaoyu Li, Ying Fu},
	title={HSIR: Out-of-box Hyperspectral Image Restoration Toolbox},
	year={2022},
	url={https://github.com/bit-isp/HSIR},
}

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Out-of-box Hyperspectral Image Restoration Toolbox and Benchmark

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