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Theory and Modern Applications

Table 6 Computational results for solving (4.3)

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

Methods

N = 512, M = 256, Iter = 250

N = 1024, M = 512, Iter = 350

PSNR

SSIM

CPU

PSNR

SSIM

CPU

Algorithm 1.1

31.7958

0.9777

42.9632

26.3070

0.9375

157.0621

Algorithm 1.2

31.9191

0.9780

350.0757

26.6354

0.9381

1295.4495

Algorithm 3.6

32.2537

0.9789

541.9922

27.6598

0.9400

2249.6655