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Salt-And-Pepper Noise Removal 벤치마크

Salt-And-Pepper Noise Removal on Kodak24 Noise Level 50%

6개 결과 · ⬇ CSV · JSON

PSNR

19.5 23.21 26.93 30.64 34.35 2018-03 2026-09 Noise2Noise — 32.27 (2018-03-12) Noise2Noise — 32.27 (2018-03-12) DeepBossting — 19.5 (2018-09-01) DeepBossting — 19.5 (2018-09-01) CNN (Median Layers) — 34.35 (2019-08-18) CNN (Median Layers) — 34.35 (2019-08-18) Noise2Noise — 32.27 (2018-03-12) CNN (Median Layers) — 34.35 (2019-08-18)
RankModel PSNR PaperCodeYear
1 CNN (Median Layers) 34.35 Convolutional Neural Network with Median Layers for Denoising Salt-and-Pepper Contaminations llmpass/medianDenoise 2019
2 Noise2Noise 32.27 Noise2Noise: Learning Image Restoration without Clean Data NVlabs/noise2noise · joeylitalien/noise2noise-pytorch · shivamsaboo17/Deep-Restore-PyTorch · +18 2018
3 DeepBossting 19.50 Deep Boosting for Image Denoising 2018
4 CNN (Median Layers) 34.35 Convolutional Neural Network with Median Layers for Denoising Salt-and-Pepper Contaminations llmpass/medianDenoise 2019
5 Noise2Noise 32.27 Noise2Noise: Learning Image Restoration without Clean Data NVlabs/noise2noise · joeylitalien/noise2noise-pytorch · shivamsaboo17/Deep-Restore-PyTorch · +18 2018
6 DeepBossting 19.50 Deep Boosting for Image Denoising 2018
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