Table 4 NIQE and CEIQ scores on MEF, LIME, NPE, DICM datasets, respectively.

From: Low-light image enhancement via adaptive frequency decomposition network

Methods

MEF

LIME

NPE

DICM

AVG

NIQE\(\downarrow \)

CEIQ\(\uparrow \)

NIQE\(\downarrow \)

CEIQ\(\uparrow \)

NIQE\(\downarrow \)

CEIQ\(\uparrow \)

NIQE\(\downarrow \)

CEIQ\(\uparrow \)

NIQE\(\downarrow \)

CEIQ\(\uparrow \)

MBLLEN17

3.6940

3.0532

5.0699

3.2503

4.6265

3.2160

4.5147

3.3078

4.2059

3.2068

Retinex-Net16

4.4972

3.0088

4.2942

3.2193

4.8011

3.0312

5.6886

3.2260

4.8749

3.1213

Kind18

3.8612

2.8506

3.6715

3.1284

4.3540

3.0963

4.6410

2.7652

4.1098

2.9601

R2RNet18

4.8074

2.8936

4.5357

3.3553

4.1313

3.2321

4.8074

3.1149

4.3558

3.1490

SCI29

4.4604

2.4845

4.4898

3.1068

3.8894

3.1223

3.6408

2.7286

4.0085

2.8606

RUAS28

5.4656

2.6000

5.0795

2.4321

4.9412

2.5468

4.5572

2.7652

4.8308

2.5860

EnlightenGAN13

3.5869

2.8820

3.8354

3.3227

3.4953

3.2995

2.9186

3.2957

3.2355

3.2000

Zero-DCE12

4.0550

2.7637

3.7860

3.2287

3.396

3.0822

2.8249

3.2385

3.4973

3.0783

Zero-DCE++20

4.3356

2.6746

4.1951

3.2751

3.5119

3.2037

2.8910

3.2853

3.5327

3.1097

HFMNet21

4.0170

3.1488

3.8724

3.2423

3.7705

3.2229

3.2384

3.2862

3.5848

3.2250

Kind++19

3.1143

3.0486

3.4905

3.2349

5.0014

3.2153

4.1043

3.2377

3.6611

3.1841

Ours

3.3563

3.1427

4.0499

3.3661

3.2302

3.2935

2.8159

3.3730

3.2118

3.2938

  1. The best results are highlighted in bold.