Split monotone variational inclusion with errors for image-feature extraction with multiple-image blends problem

Table 2 All cases of the parameter \(\gamma _{n}\) (with A6 type of the parameters \(\lambda _{n}\) and \(\eta _{n}\)) at the first 10,000 iterations

Case	\(\gamma _{n}\)	\(\lambda _{n}\)	\(\eta _{n}\)	CPU (s)	NCC	SNR	ISNR	tol
1	A1	A6	A6	425.51	0.9924	19.4825	9.8366	2.42 × 10⁻⁷
2	A2	A6	A6	429.86	0.9763	23.5064	14.4992	2.52 × 10⁻⁷
3	A3	A6	A6	431.31	0.9687	23.4392	14.5077	2.57 × 10⁻⁷
4	A4	A6	A6	425.90	0.9572	23.1888	14.3321	2.65 × 10⁻⁷
5	A5	A6	A6	425.94	0.7978	18.5734	10.2851	3.59 × 10⁻⁷
6	B1	A6	A6	434.32	0.9689	23.4424	14.5101	2.57 × 10⁻⁷
7	B2	A6	A6	430.61	0.9686	23.4359	14.5052	2.58 × 10⁻⁷
8	C1	A6	A6	430.83	0.9687	23.4392	14.5077	2.57 × 10⁻⁷
9	C2	A6	A6	440.86	0.9687	23.4392	14.5077	2.57 × 10⁻⁷