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2- # DnCNN
3- ## [ Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising] ( http://www4.comp.polyu.edu.hk/~cslzhang/paper/DnCNN.pdf )
2+ # [ DnCNN] ( http://www4.comp.polyu.edu.hk/~cslzhang/paper/DnCNN.pdf )
3+ ## [ Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising] ( http://ieeexplore.ieee.org/document/7839189/ )
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55### Main Contents
66
@@ -49,15 +49,12 @@ upscaling factors 2, 3 and 40 on Set5, Set14, BSD100 and Urban100 datasets, JPEG
4949| | 2 | 36.86 / 0.9556 | 37.56 / 0.9591 | 37.58 / 0.9590 |
5050| Set5 | 3 | 33.18 / 0.9152 | 33.67 / 0.9220 | 33.75 / 0.9222 |
5151| | 4 | 30.85 / 0.8732 | 31.35 / 0.8845 | 31.40 / 0.8845 |
52- ||
5352| | 2 | 32.51 / 0.9069 | 33.02 / 0.9128 | 33.03 / 0.9128 |
5453| Set14 | 3 | 29.43 / 0.8232 | 29.77 / 0.8318 | 29.81 / 0.8321 |
5554| | 4 | 27.66 / 0.7563 | 27.99 / 0.7659 | 28.04 / 0.7672 |
56- ||
5755| | 2 | 31.40 / 0.8878 | 31.89 / 0.8961 | 31.90 / 0.8961 |
5856| BSD100 | 3 | 28.50 / 0.7881 | 28.82 / 0.7980 | 28.85 / 0.7981 |
5957| | 4 | 27.00 / 0.7140 | 27.28 / 0.7256 | 27.29 / 0.7253 |
60- ||
6158| | 2 | 29.70 / 0.8994 | 30.76 / 0.9143 | 30.74 / 0.9139 |
6259| Urban100| 3 | 26.42 / 0.8076 | 27.13 / 0.8283 | 27.15 / 0.8276 |
6360| | 4 | 24.61 / 0.7291 | 25.17 / 0.7528 | 25.20 / 0.7521 |
@@ -68,7 +65,6 @@ upscaling factors 2, 3 and 40 on Set5, Set14, BSD100 and Urban100 datasets, JPEG
6865| | 20 | 31.15 / 0.8517 | 31.47 / 0.8576 | 31.63 / 0.8610 |
6966| | 30 | 32.51 / 0.8806 | 32.78 / 0.8837 | 32.91 / 0.8861 |
7067| | 40 | 33.34 / 0.8953 | - | 33.77 / 0.9003 |
71- ||
7268| LIVE1 | 10 | 28.96 / 0.8076 | 29.15 / 0.8111 | 29.19 / 0.8123 |
7369| | 20 | 31.29 / 0.8733 | 31.46 / 0.8769 | 31.59 / 0.8802 |
7470| | 30 | 32.67 / 0.9043 | 32.84 / 0.9059 | 32.98 / 0.9090 |
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