Table 1 Quantitative comparison of various repair algorithms under different mask rates

From: Mural restoration via the fusion of edge-guided and multi-scale spatial features

Evaluation indicators

PSNR↑

SSIM↑

L1↓

LPIPS↓

PIQE↓

Mask rate/contrast algorithm

     

1–10%

LEGNet

29.9352

0.8609

0.0211

0.0518

27.95

DSNet

30.3821

0.9285

0.0185

0.0683

26.35

T-former

32.4897

0.9424

0.0163

0.0472

25.48

HINT

32.3207

0.9072

0.0079

0.0402

26.50

PUT

32.6048

0.9285

0.0067

0.0374

24.11

SEM

32.9407

0.9564

0.0056

0.0368

23.88

Ours

33.8629

0.9591

0.0043

0.0341

22.60

10–20%

LEGNet

27.4934

0.8017

0.0256

0.0768

29.24

DSNet

27.1532

0.8059

0.0296

0.1385

27.46

T-former

27.5261

0.9026

0.0195

0.0723

27.83

HINT

28.1864

0.8803

0.0127

0.0667

26.04

PUT

28.3676

0.8926

0.0125

0.0708

26.35

SEM

28.6235

0.9001

0.0105

0.0761

24.33

Ours

28.8163

0.9119

0.0083

0.0651

23.21

20–30%

LEGNet

24.1258

0.7427

0.0314

0.1359

30.87

DSNet

23.8412

0.7285

0.0374

0.2011

29.02

T-former

24.5485

0.8106

0.0212

0.1271

28.82

HINT

25.5085

0.7729

0.0187

0.0984

27.70

PUT

25.5671

0.8115

0.0163

0.1314

28.46

SEM

25.4709

0.8294

0.0194

0.1264

26.15

Ours

25.6823

0.8329

0.0181

0.1244

24.31

30–40%

LEGNet

22.9024

0.7063

0.0347

0.1916

33.97

DSNet

21.3902

0.6763

0.0473

0.2128

31.32

T-former

22.8274

0.7275

0.0298

0.1863

30.42

HINT

23.4516

0.7422

0.0292

0.1428

29.91

PUT

21.8461

0.7176

0.0276

0.2193

29.08

SEM

23.3368

0.7555

0.0271

0.1779

27.22

Ours

23.7459

0.7631

0.0262

0.1752

26.31

Powder Mask

LEGNet

29.6843

0.8571

0.0238

0.0497

25.41

DSNet

26.4456

0.8467

0.0283

0.1043

23.88

T-former

32.6929

0.9245

0.0183

0.0396

22.21

HINT

32.5332

0.9488

0.0085

0.0339

22.97

PUT

32.8921

0.9583

0.0067

0.0352

21.64

SEM

32.9810

0.9531

0.0064

0.0341

22.83

Ours

33.9251

0.9662

0.0056

0.0330

20.62

  1. Bold values indicate the optimal results in each column.