Advances in Continuous and Discrete Models

Theory and Modern Applications

Table 8 Computational results for each γ

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

Given: σ = 5, θ = 0.57, δ = 0.17
γ	N = 512, M = 256, Iter = 80			N = 1024, M = 512, Iter = 120
γ	PSNR	SSIM	CPU	PSNR	SSIM	CPU
1.75	31.9129	0.9780	175.6244	27.0498	0.9390	707.5356
1.55	31.6503	0.9775	177.3801	26.6102	0.9381	722.1810
0.65	24.2457	0.9580	193.9734	20.4814	0.9292	750.3288
0.15	9.3123	0.8814	195.3802	12.0074	0.9118	789.5196

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