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Needle-Match: Reliable Patch Matching Under High Uncertainty

CVPR 2016 · Image generation › Image restoration · approach: Real-world restoration with unaligned data · 26 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace BM3D's regular patch similarity with Needle-based similarity (ablation)BM3D · Natural images [21], Gaussian noise σ=15, 35, 55, 75PSNR (dB): 31.04 -> 31.19; 27.34 -> 27.57; 24.96 -> 25.38; 24.13 -> 24.94Helped
Replace original-scale patch matching with Needle matching (ablation)Patch matching for signal-fit evaluation · Noise, σ=35RMSE: 22.529 -> 13.89Helped
Replace original-scale patch matching with Needle matching (ablation)Patch matching for signal-fit evaluation · BlurRMSE: 27.484 -> 12.266Helped
Replace original-scale patch matching with Needle matching (ablation)Patch matching for signal-fit evaluation · Geometric distortionRMSE: 33.472 -> 24.219Helped
Use Needle matching instead of regular patch matching (ablation)Patch matching without degradation · Clean images, σN=σB=σG=0SignalMatchErrorHurt
Use simultaneous multiscale matching instead of sequential coarse-to-fine matching (ablation)Patch matching under severe degradation · Severe blur correspondence estimationDisplacement errorHelped
Use unrestricted global regular-patch search instead of local patch search (ablation)BM3D · Natural images [21], Gaussian noise σ=15, 35, 55, 75PSNR (dB): 31.04 -> 26.91; 27.34 -> 26.17; 24.96 -> 24.83; 24.13 -> 23.67Hurt

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