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Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration

CVPR 2018 · Image generation › Image restoration · approach: Efficient restoration architectures · 34 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use NLR-TFA instead of TVAL3image CS reconstruction · 8-image average, pseudo-radial CSr 0.02PSNR (dB): 21.15 -> 28.77Helped
use NLR-TFA instead of NLR-CSimage CS reconstruction · 8-image average, pseudo-radial CSr 0.02PSNR (dB): 17.28 -> 28.77Helped
use NLR-TFA instead of D-AMPimage CS reconstruction · 8-image average, pseudo-radial CSr 0.02PSNR (dB): 16.29 -> 28.77Helped
use NLR-TFA instead of BM3D-CSimage CS reconstruction · 8-image average, pseudo-radial CSr 0.02PSNR (dB): 16.80 -> 28.77Helped
use NLR-TFA instead of D-AMPimage CS reconstruction with Gaussian sensing · 8-image average, CSr 0.02PSNR (dB): 16.99 -> 25.04Helped
increase patch size from 4×4 to 6×6 (ablation)NLR-TFA · Foreman, pseudo-radial CSr 0.02PSNR (dB): 34.01 -> 31.16Hurt
increase patch size from 4×4 to 8×8 (ablation)NLR-TFA · Foreman, pseudo-radial CSr 0.02PSNR (dB): 34.01 -> 29.63Hurt
increase patch size from 4×4 to 10×10 (ablation)NLR-TFA · Foreman, pseudo-radial CSr 0.02PSNR (dB): 34.01 -> 28.57Hurt
increase patch size from 4×4 to 12×12 (ablation)NLR-TFA · Foreman, pseudo-radial CSr 0.02PSNR (dB): 34.01 -> 27.39Hurt
use low-rank tensor factorization of grouped patches within ADMMNLR-TFA · noiseless pseudo-radial CS, CSr < 0.1PSNR (dB): +15.04 dB, +10.65 dB, +14.36 dB, and +14.58 dBHelped
use rank-3 rather than rank-8 patch-group tensors (ablation)low-rank tensor reconstruction · clean image tensor aggregationPSNR (dB): 36.54 dB -> 37.09 dBNo clear effect
use pretrained convolutional inversion approximation instead of conjugate-gradient inner-loop updatesNLR-TFA with Gaussian sensing · random Gaussian CSruntimeHelped

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