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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