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Hyperspectral Image Denoising research benchmarks – Page 2 · SOTA2 Research

Hyperspectral Image Denoising

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

ICVL synthetic Gaussian+Impulse noise

42.67PSNR

10

Feb 26, 2026

ICVL Gaussian+Deadline noise synthetic

43.66PSNR

10

Feb 26, 2026

ICVL Non-i.i.d Gaussian noise synthetic

44.2PSNR

10

Feb 26, 2026

Realistic dataset 15 real noisy HSIs

29.68PSNR

10

Feb 26, 2026

ICVL Strip (test)

0.997MFSIM

10

Feb 26, 2026

ICVL Correlated (test)

99.91MFSIM

10

Feb 26, 2026

ICVL [0-95] (test)

99.72MFSIM

10

Feb 26, 2026

ICVL [0-55] (test)

99.85MFSIM

10

Feb 26, 2026

ICVL [0-15] (test)

1MFSIM

10

Feb 26, 2026

ICVL Stripe noise (test)

44.74MPSNR

10

Feb 26, 2026

ICVL Correlated noise (test)

49.89MPSNR

10

Feb 26, 2026

ICVL [0-95] blind noise (test)

46.3MPSNR

10

Feb 26, 2026

ICVL [0-55] blind noise (test)

48.64MPSNR

10

Feb 26, 2026

ICVL [0-15] blind noise (test)

53.31MPSNR

10

Feb 26, 2026

ICVL sigma=100 (test)

38.99MPSNR

10

Feb 26, 2026

ICVL sigma=50 (test)

42.16MPSNR

10

Feb 26, 2026

ICVL sigma=25 (test)

45.38MPSNR

10

Feb 26, 2026

ICVL sigma=5 (test)

52.74MPSNR

10

Feb 26, 2026

DCMall Stripe Noise

0.966MFSIM

10

Feb 26, 2026

DCMall Correlated Noise

97.9MFSIM

10

Feb 26, 2026

DCMall Random Gaussian Noise (sigma=[0-95])

97.25MFSIM

10

Feb 26, 2026

DCMall Random Gaussian Noise (sigma=[0-55])

0.977MFSIM

10

Feb 26, 2026

DCMall Random Gaussian Noise sigma=[0-15]

98.31MFSIM

10

Feb 26, 2026

DCMall Gaussian Noise sigma=100

0.933MFSIM

10

Feb 26, 2026

DCMall Gaussian Noise sigma=50

0.954MFSIM

10

Feb 26, 2026

Page 2 of 3

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ICVL DCMall DC PaviaU CAVE

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