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Table 5 Comparison of the SSIM value (0.−) for inpainting of images with various corruption levels based on analytic dictionaries, DCT and MCA, and dictionaries learned on all available corrupted image patches, BPFA, BPFAomp, wKSVD and ITKrMM (modified inpainting is marked with a *)

From: Fast dictionary learning from incomplete data

 

Algorithm

Bar.

Cam.

Hou.

Man.

Pepp.

Pir.

30% Corr.

Noisy Im.

1689

2367

0831

1604

1630

1619

 

DCT64

9822

9638

9813

9373

9859

9691

 

DCT144

9812

9629

9814

9413

9858

9698

 

MCA

9695

9500

9658

9218

9654

9552

 

BPFA

9438

9388

9608

8855

9710

9452

 

BPFAomp

9590

9564

9771

9400

9820

9688

 

wKSVD

9659

9551

9772

9341

9812

9662

 

ITKrMM1

9719

9597

9819

9418

9840

9701

 

ITKrMM3

9798

9612

9823

9428

9852

9729

50% Corr.

Noisy Im.

1002

1617

0478

0899

1015

0946

 

DCT64

9503

9207

9542

8469

9647

9215

 

DCT144

9486

9194

9548

8566

9645

9239

 

MCA

9424

9173

9484

8408

9511

9157

 

BPFA

9284

9141

9508

8187

9612

9171

 

BPFAomp

9384

9222

9607

8782

9686

9377

 

wKSVD

9439

9257

9607

8786

9683

9363

 

ITKrMM1

9514

9281

9651

8816

9688

9374

 

ITKrMM3

9588

9281

9657

8825

9695

9392

70% Corr.

Noisy Im.

0552

0981

0268

0459

0575

0515

 

DCT64

8703

8411

8976

6950

9115

8224

 

DCT144

8682

8389

8982

7081

9098

8275

 

MCA

8807

8592

9070

7056

9152

8363

 

BPFA

8783

8587

9231

7104

9366

8604

 

BPFAomp

8828

8600

9235

7614

9374

8713

 

BPFAomp*

8834

8602

9238

7615

9387

8740

 

wKSVD

8877

8648

9286

7616

9380

8750

 

wKSVD*

8885

8676

9290

7615

9392

8757

 

ITKrMM1

8937

8661

9306

7582

9222

8720

 

ITKrMM1*

9002

8749

9323

7583

9404

8753

  1. The results are averaged over 5 random masks and initialisations. The best result for each setting is marked in bold