Advances in Continuous and Discrete Models

Theory and Modern Applications

Table 10 Computational results for each δ

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

Given: γ = 1.75, σ = 5, θ = 0.57
δ	N = 512, M = 256, Iter = 80			N = 1024, M = 512, Iter = 120
δ	PSNR	SSIM	CPU	PSNR	SSIM	CPU
0.03	19.1459	0.9376	296.1227	17.7976	0.9285	1155.8961
0.05	23.8391	0.9542	265.7709	20.3615	0.9289	1020.0585
0.07	27.4554	0.9676	237.0004	21.9502	0.9306	925.7105
0.15	30.1473	0.9743	202.3671	24.1919	0.9337	793.9251

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