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Table 4 PSNR and SSIM after reconstruction of various murals with different algorithms

From: An improved algorithm for superresolution reconstruction of ancient murals with a generative adversarial network based on asymmetric pyramid modules

Image type Index BI Literature [17] Literature [20] SRGAN EDSR ProGAN
Animals PSNR/SSIM 20.92/0.44 27.36/0.63 27.81/0.64 28.05/0.66 28.44/0.68 28.56/0.68
Builds PSNR/SSIM 19.89/0.44 24.21/0.57 25.15/0.62 25.41/0.63 25.62/0.64 25.85/0.65
Cloud PSNR/SSIM 19.84/0.48 24.40/0.62 25.40/0.66 25.62/0.67 25.87/0.69 26.18/0.70
Disciple PSNR/SSIM 20.21/0.46 25.88/0.62 26.70/0.62 26.81/0.66 27.15/0.68 27.35/0.69
Fo PSNR/SSIM 20.06/0.45 24.05/0.56 24.88/0.58 25.06/0.61 25.23/0.62 25.49/0.63
People PSNR/SSIM 20.23/0.43 26.92/0.64 27.50/0.63 27.75/0.67 28.12/0.69 28.28/0.70
Plant PSNR/SSIM 21.20/0.50 26.75/0.66 27.44/0.65 27.60/0.70 28.05/0.72 28.21/0.72
Pusa PSNR/SSIM 20.49/0.44 24.99/0.58 25.83/0.61 25.91/0.62 2 6.11/0.64 26.27/0.65