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Table 6 The algorithms with good results in RF phantom experiments

From: Clutter suppression in ultrasound: performance evaluation and review of low-rank and sparse matrix decomposition methods

Group

Abbreviation

Time

CNR

Group

Abbreviation

Time

CNR

TTD

3WD\(\bullet\)

1.826

2.393

RPCA

Lag-SPCP-SPG

31.118

2.626

TTD

ADMM\(\bullet\)

4.009

2.478

MC

LMaFit

0.260

2.651

RPCA

ALM

5.456

2.672

MC

LRGeomCG

0.817

2.640

RPCA

APG\(\bullet\)

5.585

2.747

RPCA

LSADM\(\bullet\)

1.443

2.747

RPCA

APG-PARTIAL\(\bullet\)

4.690

2.747

TTD

MAMR

2.263

2.681

RPCA

AS-RPCA

2.697

2.732

RPCA

MoG-RPCA

9.156

2.777

RPCA

DECOLOR

10.266

4.895

NMF

nmfLS2

0.219

2.672

NMF

Deep-Semi-NMF

0.150

2.672

RPCA

NSA1\(\bullet\)

1.549

2.746

NMF

DRMF\(\bullet\)

2.723

2.754

RPCA

NSA2\(\bullet\)

1.656

2.746

RPCA

DUAL\(\bullet\)

215

2.746

MC

OptSpace\(\bullet\)

7.020

2.526

LRR

EALM

0.351

2.672

MC

OR1MP\(\bullet\)

0.089

2.627

RPCA

EALM\(\bullet\)

37.360

2.744

TD

OSTD\(\bullet\)

70.747

1.799

RPCA

flip-SPCP-max-QN\(\bullet\)

119

2.768

RPCA

PCP\(\bullet\)

26.791

2.745

RPCA

flip-SPCP-sum-SPG\(\bullet\)

431

2.768

NMF

PNMF

16.963

2.684

RPCA

FPCP

0.108

2.672

RPCA

PRMF

1.573

2.623

RPCA

FW-T\(\circ\)

0.591

2.578

RPCA

R2PCP

2.241

2.703

RPCA

GA

0.031

3.652

RPCA

RegL1-ALM

4.745

2.774

RPCA

GM

0.155

2.775

TTD

RMAMR

9.728

2.545

RPCA

GoDec

0.097

2.674

LRR

ROSL

0.421

2.715

ST

GRASTA\(\circ\)

1.394

1.207

MC

RPCA-GD

6.215

2.622

RPCA

GreGoDec

0.237

2.821

TD

RSTD\(\circ\)

91.200

1.636

TD

HoRPCA-S-NCX

70.134

2.777

MC

ScGrassMC

4.093

2.567

TD

HoSVD

0.497

2.672

NMF

Semi-NMF

1.267

2.295

RPCA

IALM

0.796

2.748

RPCA

SSGoDec

1.496

2.736

LRR

IALM\(\bullet\)

2.003

2.672

MC

SVP\(\bullet\)

3.235

2.471

RPCA

IALM-BLWS\(\bullet\)

2.474

2.748

RPCA

TFOCS-EC

9.815

2.188

MC

IALM-MC

7.764

2.419

RPCA

TFOCS-IC

9.568

2.197

RPCA

L1F

2.680

0.837

TD

Tucker-ADAL

267

2.617

RPCA

Lag-SPCP-QN

15.766

2.684

TD

Tucker-ALS

0.123

2.672

  1. The algorithms with \(\circ\) are the 3 new algorithms work on processed data, which are defective on original data. The algorithms with \(\bullet\) are sensitive to structured peak pixels and work after logarithmic processing