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Table 9 Fitness value comparison between results obtained using different enhancement methods on standard benchmark face datasets

From: A new evaluation function for face image enhancement in unconstrained environments using metaheuristic algorithms

Database

LCS

HE

IIA

M_PSO

M_GA

BDPFHE

CLAHE

LLIE

Proposed

AR

 Image 1

1.1916

1.0221

1.1916

1.3521

1.3325

1.1961

1.3123

1.1785

1.4028

 Image 2

1.1419

1.0174

1.1419

1.3008

1.299

1.1939

1.267

1.1148

1.3154

 Image 3

1.2341

1.0914

1.2341

1.3846

1.3868

1.2357

1.3731

1.1828

1.4817

 Image 4

1.2572

1.009

1.2572

1.3702

1.3653

1.3082

1.326

1.1349

1.497

 Image 5

1.2301

0.9413

1.2301

1.3332

1.3325

1.2836

1.3289

1.1459

1.5531

 Image 6

1.1537

0.9486

1.1537

1.2783

1.2784

1.1364

1.223

1.0442

1.3613

YF

 Image 1

0.8143

0.6871

0.8143

0.8565

0.8484

0.8464

0.8161

0.7945

0.9337

 Image 2

0.9362

0.7971

0.9362

0.9269

0.9316

0.9021

0.8644

0.7126

1.0098

 Image 3

0.9501

0.7014

0.9501

0.8319

0.7145

0.9362

0.8546

0.7474

0.9629

 Image 4

1.0383

0.8859

1.0383

0.9645

0.9625

0.8961

0.9274

0.7701

1.0682

 Image 5

0.8376

0.5986

0.8376

0.5746

0.5739

0.7746

0.7293

0.6559

0.7012

 Image 6

0.8234

0.5937

0.8234

0.7194

0.5956

0.8285

0.7416

0.6598

0.7355

ORL

 Image 1

1.2263

1.0357

1.2263

1.4126

1.4177

1.2354

1.3308

1.1807

1.6019

 Image 2

1.4101

1.2308

1.4101

1.7742

1.7743

1.4209

1.6695

1.4297

1.9877

 Image 3

1.3859

1.2339

1.3859

1.6243

1.6227

1.3896

1.5657

1.4284

1.8498

 Image 4

1.3368

1.1461

1.3368

1.5423

1.5061

1.3421

1.5291

1.3491

1.8439

 Image 5

1.3324

1.3522

1.3324

1.6258

1.6303

1.3604

1.4815

1.3611

1.7788

 Image 6

1.2793

1.0655

1.2793

1.3884

1.3985

1.2851

1.3583

1.2924

1.6491