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Unsupervised Underwater Image Restoration: From a Homology Perspective

AAAI 2022 · Image generation › Image restoration · approach: Efficient restoration architectures · 155 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the homology-based unsupervised restoration method instead of Ucolorunderwater image restoration · UIEBD testPSNR: 21.65 -> 20.31Hurt
Use the homology-based unsupervised restoration method instead of Ucolorunderwater image restoration · UIEBD testSSIM: 0.840 -> 0.841Helped
Use the homology-based unsupervised restoration method instead of Histogram-Priorunderwater image restoration · RUIE underwater image quality subsetUIQM: 4.210 -> 3.788Hurt
Use the homology-based unsupervised restoration method instead of Histogram-Priorunderwater image restoration · RUIE underwater image quality subsetUCIQE: 33.74 -> 32.01Hurt
Add the color loss LC (ablation)USUIR · UIEBD testPSNR: 12.46 -> 20.31Helped
Add the reconstruction loss LR (ablation)USUIR · UIEBD testPSNR: 12.57 -> 20.31Helped
Add the homology loss LH (ablation)USUIR · UIEBD testPSNR: 18.40 -> 20.31Helped
Add the color loss LC (ablation)USUIR · UIEBD testSSIM: 0.521 -> 0.841Helped
Add the reconstruction loss LR (ablation)USUIR · UIEBD testSSIM: 0.457 -> 0.841Helped
Add the homology loss LH (ablation)USUIR · UIEBD testSSIM: 0.810 -> 0.841Helped
Use USUIR rather than DIP or DDIP at inferenceunderwater image restoration · 512 × 512 images on GPUinference time (s): 1005 -> 0.004; 827 -> 0.004Helped

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