Skip to main content

Theory and Modern Applications

Table 1 Experimental results for different images and different blur kernels, \(\mathrm{BSNR}=35\)

From: Hybrid variational model based on alternating direction method for image restoration

Image

Blur kernels

Fast-TV [26]

FNDTV [27]

Our

PSNR

SSIM

PSNR

SSIM

PSNR

SSIM

Cameraman

Gaussian(5, 5)

27.0656

0.4399

27.2341

0.4417

27.8678

0.4562

Gaussian(7, 7)

26.1232

0.3992

26.8021

0.4155

27.0689

0.4383

Gaussian(9, 9)

24.9719

0.3807

25.6502

0.4024

26.4150

0.4057

Couple

Gaussian(5, 5)

31.3219

0.7337

31.6776

0.7595

32.8470

0.7889

Gaussian(7, 7)

29.9460

0.6767

30.7103

0.6989

31.3003

0.7321

Gaussian(9, 9)

29.2731

0.6694

29.8778

0.6739

30.6027

0.6963

Lenna

average(7)

31.3460

0.6673

31.8335

0.6916

32.6287

0.7256

average(9)

30.5242

0.6415

31.0531

0.6541

31.6273

0.6737

average(11)

29.5574

0.6134

30.4395

0.6376

30.9392

0.6481

Goldhill

average(7)

28.3139

0.6077

29.2712

0.6188

30.0464

0.6330

average(9)

28.1314

0.5816

28.3268

0.5990

28.5740

0.6023

average(11)

26.8336

0.5244

27.4211

0.5576

27.8857

0.5744

Man

motion(20, 20)

29.8667

0.6258

30.1235

0.6622

30.8716

0.6864

motion(10, 100)

30.5363

0.6839

31.2202

0.7130

32.5163

0.7314

Baboon

motion(20, 20)

27.4672

0.7968

27.8722

0.8334

28.5560

0.8508

motion(10, 100)

28.8783

0.8213

28.9383

0.8621

29.3343

0.8778