Table 3. The average PSNR, SSIM, ICC, and MAE between the HQ and the artificial LQ images and between the HQ and the reconstructed images using the GS algorithm, the MF method, the DnCNN, N2N, MIRNet, and incSRCNN networks for the patch wise analysis.

Image	Metric	Artificial LQ	GS	Median Filter	DnCNN	N2N	MIRNet	incSRCNN
CARS channel	PSNR	14.8 ± 0.68	15.3 ± 1.96	20.3 ± 1.21	23.4 ± 2.09	20.9 ± 1.61	20.5 ± 2.01	20.7 ± 1.21
	SSIM	0.27 ± 0.08	0.39 ± 0.04	0.43 ± 0.06	0.59 ± 0.03	0.56 ± 0.03	0.56 ± 0.03	0.54 ± 0.03
	ICC	0.59 ± 0.01	0.78 ± 0.03	0.77 ± 0.01	0.86 ± 0.01	0.85 ± 0.01	0.82 ± 0.01	0.85 ± 0.01
	MAE	0.14 ± 0.09	0.15 ± 0.07	0.08 ± 0.08	0.05 ± 0.05	0.07 ± 0.04	0.07 ± 0.04	0.07 ± 0.05
TPEF channel	PSNR	16.2 ± 1.02	22.1 ± 2.67	22.1 ± 1.13	26.8 ± 2.37	22.7 ± 2.00	21.8 ± 3.29	22.5 ± 1.18
	SSIM	0.17 ± 0.04	0.53 ± 0.04	0.37 ± 0.04	0.64 ± 0.04	0.59 ± 0.04	0.57 ± 0.05	0.55 ± 0.02
	ICC	0.54 ± 0.01	0.80 ± 0.02	0.74 ± 0.01	0.88 ± 0.01	0.87 ± 0.01	0.79 ± 0.02	0.86 ± 0.01
	MAE	0.12 ± 0.13	0.06 ± 0.11	0.06 ± 0.13	0.03 ± 0.07	0.06 ± 0.07	0.06 ± 0.14	0.06 ± 0.09
SHG channel	PSNR	18.5 ± 1.08	22.3 ± 2.33	22.2 ± 1.50	26.1 ± 2.43	22.6 ± 1.95	14.1 ± 1.62	22.2 ± 1.72
	SSIM	0.28 ± 0.09	0.56 ± 0.04	0.42 ± 0.07	0.77 ± 0.04	0.65 ± 0.04	0.38 ± 0.09	0.57 ± 0.02
	ICC	0.70 ± 0.01	0.81 ± 0.02	0.80 ± 0.01	0.91 ± 0.01	0.88 ± 0.01	0.40 ± 0.01	0.88 ± 0.01
	MAE	0.09 ± 0.09	0.06 ± 0.06	0.06 ± 0.09	0.03 ± 0.03	0.05 ± 0.04	0.10 ± 0.20	0.06 ± 0.05
MM image	PSNR	16.5 ± 0.92	19.9 ± 2.32	21.5 ± 1.28	25.4 ± 2.30	22.1 ± 1.85	18.8 ± 2.31	21.8 ± 1.37
	SSIM	0.24 ± 0.07	0.49 ± 0.04	0.41 ± 0.06	0.66 ± 0.04	0.60 ± 0.04	0.50 ± 0.06	0.56 ± 0.02
	ICC	0.61 ± 0.01	0.80 ± 0.02	0.77 ± 0.01	0.88 ± 0.01	0.87 ± 0.01	0.67 ± 0.01	0.86 ± 0.01
	MAE	0.12 ± 0.11	0.09 ± 0.08	0.07 ± 0.10	0.04 ± 0.05	0.06 ± 0.05	0.08 ± 0.13	0.06 ± 0.06