Skip to main content

Table 3 Performance comparison of the proposed and the well-known SR algorithms in term of PSNR (dB)

From: An iterative enhanced super-resolution system with edge-dominated interpolation and adaptive enhancements

Image

Resolution

NNI

Bilinear

Bi-cubic

Learn

IBP

NBP

Proposed method

N1

2,048 × 2,560

25.270

25.840

26.146

25.894

28.917

29.180

29.250

N2

2,048 × 2,560

20.194

20.764

21.049

20.930

23.504

23.513

23.786

N5

2,048 × 2,560

24.784

25.293

25.643

25.759

27.805

27.980

28.260

N4

2,560 × 2,048

22.649

23.250

23.661

23.831

26.008

26.233

26.509

N6

2,560 × 2,048

31.849

32.634

33.021

33.128

35.923

35.930

36.380

N7

2,560 × 2,048

22.113

22.560

22.850

22.843

24.966

24.914

25.309

N8

2,560 × 2,048

19.048

19.321

19.646

19.723

21.321

21.239

21.441

QFHD_P01

3,840 × 2,160

30.700

31.605

32.128

32.108

36.036

35.656

36.643

QFHD_P03

3,840 × 2,160

22.607

23.071

23.624

23.881

26.040

25.962

26.482

QFHD_P04

3,840 × 2,160

29.424

30.531

31.118

31.187

35.811

35.238

36.074

world_satellite

6,000 × 4,190

22.488

23.215

23.508

23.495

25.980

25.830

26.090

Average

24.648

25.280

25.672

25.707

28.392

28.286

28.748