Table 1. The PSNR, the SSIM, the ICC, and the MAE between the HQ image and the artificial LQ image and between the HQ image and the reconstructed images using the GS algorithm, the MF method, the DnCNN, N2N, MIRNet, and incSRCNN networks.

Image	Metric	Artificial LQ	GS	Median Filter	DnCNN	N2N	MIRNet	incSRCNN
CARS channel	PSNR	14.8	14.9	20.1	23 . 0	20.6	20.1	20.5
	SSIM	0.27	0.39	0.43	0.59	0.56	0.56	0.54
	ICC	0.65	0.83	0.83	0.90	0.88	0.85	0.89
	MAE	0.14	0.15	0.08	0.05	0.07	0.07	0.07
TPEF channel	PSNR	16.1	21.4	22.0	26.2	22.2	19.9	22.4
	SSIM	0.17	0.53	0.37	0.64	0.59	0.57	0.55
	ICC	0.65	0.89	0.86	0.94	0.91	0.80	0.93
	MAE	0.12	0.06	0.06	0.03	0.06	0.06	0.06
SHG channel	PSNR	18.4	21.7	22.0	25.4	22.1	13.9	21.9
	SSIM	0.28	0.56	0.42	0.77	0.65	0.37	0.57
	ICC	0.75	0.85	0.85	0.93	0.90	0.46	0.91
	MAE	0.09	0.06	0.06	0.03	0.05	0.10	0.06
MM image	PSNR	16.4	19.3	21.3	24.9	21.6	17.9	21.6
	SSIM	0.24	0.49	0.41	0.67	0.60	0.50	0.56
	ICC	0.68	0.86	0.85	0.92	0.90	0.70	0.91
	MAE	0.12	0.09	0.07	0.04	0.06	0.08	0.06