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Theory and Modern Applications

Table 9 Computational results for each θ

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

Given: γ = 1.75, σ = 5, δ = 0.17

θ

N = 512, M = 256, Iter = 80

N = 1024, M = 512, Iter = 120

PSNR

SSIM

CPU

PSNR

SSIM

CPU

0.15

27.2789

0.9672

85.4890

21.2435

0.9298

337.5378

0.25

27.5130

0.9681

109.2624

25.0008

0.9351

402.7532

0.75

31.8248

0.9778

302.6839

26.8473

0.9386

1261.3915

0.95

32.0885

0.9784

1569.6501

27.3524

0.9396

7198.9700