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Table 4 The average value of various types of indicators achieved by different algorithms on the images of the mural data set

From: Superresolution reconstruction method for ancient murals based on the stable enhanced generative adversarial network

 

PSNR

SSIM

FID

IS

MS-SSIM

NIQE

RDB + Calculate the perceptual loss after activation + No WGAN-GP

28.59

0.751

17.1

17.9

0.768

7.521

RDB + Calculate the perceptual loss before activation + No WGAN-GP

29.93

0.762

15.1

18.5

0.770

4.621

RDB + Calculate the perceptual loss before activation + WGAN-GP

29.99

0.769

14.8

18.7

0.771

4.623

RS-RDB + Calculate the perceptual loss after activation + No WGAN-GP

30.45

0.784

12.34

19.6

0.774

6.497

RS-RDB + Calculate the perceptual loss before activation + No WGAN-GP

32.41

0.801

11.6

20.5

0.801

4.016

RS-RDB + Calculate the perceptual loss before activation + WGAN-GP

32.53

0.816

11.5

20.8

0.805

3.969