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Table 1 Comparisons of the results using different models based on different images

From: A convex nonlocal total variation regularization algorithm for multiplicative noise removal

Image

σ

Nonlocal-AA

Nonlocal-SO

Our method

PSNR

SSIM

PSNR

SSIM

PSNR

SSIM

Lena

0.02

28.9757

0.7974

29.6365

0.8355

29.6522

0.8377

0.05

26.3467

0.7530

27.3785

0.7750

27.4042

0.7768

0.1

24.6380

0.6816

25.8112

0.7279

25.8365

0.7310

Woman

0.02

27.9584

0.7741

28.5441

0.8044

28.5547

0.8132

0.05

25.5996

0.7014

26.6301

0.7477

26.6229

0.7436

0.1

24.8337

0.6884

25.0348

0.7002

25.1303

0.7059

Cameraman

0.02

28.4807

0.8027

28.4787

0.7969

28.7461

0.8172

0.05

26.1229

0.7584

26.0631

0.7380

26.3612

0.7693

0.1

24.0989

0.6549

24.3225

0.6911

24.6099

0.7308

Baboon

0.02

25.1895

0.6904

26.2700

0.7380

26.3582

0.7442

0.05

23.9535

0.5718

24.3048

0.6257

24.2040

0.6154

0.1

21.9093

0.4388

23.0813

0.5216

23.1622

0.5324