Research Article
Image Demosaicing Based on Generative Adversarial Network
Table 3
CPSNR and SSIM of the test results for the McMaster database by different methods.
| No. | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | CPSNR | SSIM | CPSNR | SSIM | CPSNR | SSIM | CPSNR | SSIM | CPSNR | SSIM | CPSNR | SSIM | CPSNR | SSIM | CPSNR | SSIM | CPSNR | SSIM |
| Bilinear | 29.58 | 0.8939 | 33.39 | 0.9252 | 28.99 | 0.9169 | 31.55 | 0.9564 | 34.65 | 0.9374 | 37.83 | 0.9599 | 31.78 | 0.8882 | 33.10 | 0.9486 | 34.76 | 0.9498 | TL | 33.67 | 0.8261 | 35.72 | 0.8740 | 33.96 | 0.8753 | 35.96 | 0.9422 | 35.91 | 0.8715 | 36.29 | 0.8887 | 34.81 | 0.8662 | 37.39 | 0.9254 | 37.03 | 0.9047 | HQL | 34.10 | 0.8733 | 37.33 | 0.9172 | 35.72 | 0.9501 | 37.93 | 0.9784 | 37.66 | 0.9239 | 38.23 | 0.9389 | 38.22 | 0.9537 | 39.73 | 0.9607 | 38.76 | 0.9373 | Zhang’s | 25.97 | 0.8484 | 32.89 | 0.9135 | 31.99 | 0.9503 | 33.76 | 0.9811 | 29.89 | 0.8999 | 31.85 | 0.9000 | 38.71 | 0.9734 | 36.73 | 0.9610 | 33.14 | 0.9237 | LDI-NAT | 27.47 | 0.8760 | 33.98 | 0.9271 | 31.66 | 0.9542 | 34.86 | 0.9842 | 32.58 | 0.9285 | 35.61 | 0.9420 | 35.14 | 0.9546 | 36.65 | 0.9656 | 35.51 | 0.9449 | ARI | 29.63 | 0.9243 | 35.23 | 0.9455 | 34.65 | 0.9728 | 37.92 | 0.9894 | 35.44 | 0.9625 | 38.79 | 0.9626 | 39.75 | 0.9792 | 39.55 | 0.9784 | 37.90 | 0.9630 | MLRI | 28.98 | 0.9135 | 35.06 | 0.9417 | 33.85 | 0.9697 | 37.66 | 0.9893 | 33.94 | 0.9533 | 38.29 | 0.9660 | 37.50 | 0.9705 | 37.05 | 0.9710 | 36.49 | 0.9588 | RI-GBTF | 27.44 | 0.8869 | 33.64 | 0.9235 | 32.71 | 0.9603 | 34.85 | 0.9843 | 31.43 | 0.9322 | 34.47 | 0.9431 | 39.11 | 0.9754 | 36.36 | 0.9640 | 34.10 | 0.9429 | DnCNN | 29.39 | 0.9236 | 36.66 | 0.9358 | 35.86 | 0.9673 | 37.74 | 0.9921 | 36.28 | 0.9579 | 37.95 | 0.9642 | 39.30 | 0.9735 | 38.45 | 0.9691 | 38.51 | 0.9582 | Proposed | 34.29 | 0.9367 | 37.67 | 0.9486 | 35.88 | 0.9738 | 38.06 | 0.9980 | 37.70 | 0.9635 | 38.93 | 0.9693 | 39.73 | 0.9798 | 39.87 | 0.9804 | 39.74 | 0.9679 |
| No. | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | CPSNR | SSIM | CPSNR | SSIM | CPSNR | SSIM | CPSNR | SSIM | CPSNR | SSIM | CPSNR | SSIM | CPSNR | SSIM | CPSNR | SSIM | CPSNR | SSIM | Bilinear | 36.86 | 0.9543 | 36.95 | 0.9495 | 34.62 | 0.9520 | 39.04 | 0.9606 | 37.55 | 0.9487 | 37.66 | 0.9447 | 31.45 | 0.9278 | 34.75 | 0.9375 | 31.46 | 0.9098 | TL | 37.10 | 0.8960 | 38.44 | 0.9206 | 37.40 | 0.9021 | 39.64 | 0.9153 | 38.79 | 0.9147 | 39.10 | 0.9172 | 34.79 | 0.8799 | 34.32 | 0.8727 | 35.56 | 0.8756 | HQL | 40.17 | 0.9539 | 40.51 | 0.9451 | 40.06 | 0.9517 | 40.04 | 0.9434 | 40.79 | 0.9426 | 40.77 | 0.9360 | 36.33 | 0.9051 | 36.12 | 0.8963 | 37.32 | 0.9361 | Zhang’s | 35.01 | 0.9402 | 35.91 | 0.9273 | 35.58 | 0.9446 | 37.73 | 0.9381 | 36.49 | 0.9368 | 36.36 | 0.9257 | 29.03 | 0.8675 | 27.65 | 0.8324 | 33.24 | 0.9379 | LDI-NAT | 37.24 | 0.9560 | 37.57 | 0.9427 | 37.33 | 0.9547 | 39.72 | 0.9488 | 37.76 | 0.9471 | 37.83 | 0.9414 | 31.01 | 0.8913 | 30.81 | 0.9031 | 33.71 | 0.9397 | ARI | 39.28 | 0.9723 | 40.23 | 0.9730 | 40.07 | 0.9647 | 40.64 | 0.9507 | 39.05 | 0.9575 | 39.41 | 0.9593 | 35.64 | 0.9673 | 34.71 | 0.9616 | 36.43 | 0.9666 | MLRI | 38.65 | 0.9688 | 39.98 | 0.9714 | 39.65 | 0.9636 | 40.63 | 0.9531 | 38.81 | 0.9552 | 38.92 | 0.9528 | 35.16 | 0.9632 | 32.58 | 0.9415 | 36.12 | 0.9649 | RI-GBTF | 36.27 | 0.9552 | 37.85 | 0.9610 | 38.13 | 0.9579 | 38.76 | 0.9448 | 37.27 | 0.9431 | 36.65 | 0.9309 | 32.19 | 0.9442 | 29.06 | 0.9392 | 35.28 | 0.9590 | DnCNN | 39.04 | 0.9678 | 39.47 | 0.9746 | 40.03 | 0.9614 | 39.87 | 0.9525 | 39.36 | 0.9579 | 40.18 | 0.9487 | 35.94 | 0.9603 | 33.89 | 0.9589 | 37.21 | 0.9631 | Proposed | 40.35 | 0.9755 | 40.62 | 0.9787 | 40.11 | 0.9675 | 40.71 | 0.9616 | 40.95 | 0.9670 | 40.93 | 0.9603 | 36.82 | 0.9679 | 34.64 | 0.9677 | 37.65 | 0.9690 |
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