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Theory and Modern Applications

Table 7 Computational results for each σ

From: Novel forward–backward algorithms for optimization and applications to compressive sensing and image inpainting

Given: γ = 1.75, θ = 0.57, δ = 0.17

σ

N = 512, M = 256, Iter = 80

N = 1024, M = 512, Iter = 120

PSNR

SSIM

CPU

PSNR

SSIM

CPU

1.5

31.8628

0.9777

231.7521

26.9550

0.9388

911.3357

1

31.8185

0.9778

105.0579

27.0448

0.930

390.0906

0.1

26.3606

0.9644

29.3329

20.6162

0.9292

118.4001

0.01

5.7995

0.6534

29.2479

7.9950

0.8156

119.6576