An improved fast iterative shrinkage thresholding algorithm with an error for image deblurring problem

Table 3 The SNR and ISNR values at first 1000^th iterations for image deblurring

Algorithm	SNR	ISNR	CPU (s)	tol	SNR	ISNR	CPU (s)	tol
	Cameraman				Woman
IFBS	27.3690	7.8949	94.08	7.52 × 10⁻⁶	24.7271	4.4717	93.94	6.70 × 10⁻⁶
FISTA	25.1667	5.6856	90.29	1.60 × 10⁻⁵	23.7183	3.4576	90.52	1.52 × 10⁻⁵
FBMWA	26.8948	7.4189	247.48	6.65 × 10⁻⁶	24.5520	4.2953	250.39	5.81 × 10⁻⁶
FBMMMA	26.6595	7.1828	227.37	6.47 × 10⁻⁶	24.4583	4.2011	227.31	5.60 × 10⁻⁶
NAGA	27.8742	8.4032	151.89	7.20 × 10⁻⁶	24.9137	4.6609	151.08	6.49 × 10⁻⁶
SCTIP	26.3036	6.8349	118.22	1.64 × 10⁻⁵	23.9936	3.7433	118.25	1.39 × 10⁻⁵
IFISTA	26.8945	7.4186	151.80	6.66 × 10⁻⁶	24.5520	4.2953	152.43	5.83 × 10⁻⁶
Processing mean	26.7375	7.2633	154.45	9.56 × 10⁻⁶	24.4164	4.1607	154.85	8.50 × 10⁻⁶
	Pirate				Living room
IFBS	23.4923	4.7342	93.61	8.29 × 10⁻⁶	24.3377	6.3731	94.02	8.43 × 10⁻⁶
FISTA	22.4952	3.7298	89.79	1.58 × 10⁻⁵	22.5101	4.5352	90.06	2.01 × 10⁻⁵
FBMWA	23.2622	4.5020	250.55	7.14 × 10⁻⁶	23.9751	6.0082	247.41	7.90 × 10⁻⁶
FBMMMA	23.1511	4.3900	225.98	6.83 × 10⁻⁶	23.7977	5.8298	226.78	7.76 × 10⁻⁶
NAGA	23.7434	4.9891	150.45	8.10 × 10⁻⁶	24.6826	6.7220	151.47	8.19 × 10⁻⁶
SCTIP	22.6546	3.9038	117.91	1.71 × 10⁻⁵	23.3893	5.4341	116.67	1.76 × 10⁻⁵
IFISTA	23.2625	4.5022	151.51	7.17 × 10⁻⁶	23.9766	6.0097	152.14	7.94 × 10⁻⁶
Processing mean	23.1516	4.3930	154.26	1.01 × 10⁻⁵	23.8099	5.8446	154.08	1.11 × 10⁻⁵