Table 2. The PSNR, the SSIM, the ICC, and the MAE between the HQ and the experimental LQ images and between the HQ and the reconstructed images using the GS algorithm, the MF method, the DnCNN, N2N, MIRNet, and incSRCNN networks.

Image	Metric	LQ	GS	Median Filter	DnCNN	N2N	MIRNet	incSRCNN
CARS channel	PSNR	19.0	14.9	18.8	19 . 2	17.7	17.8	17.2
	SSIM	0.56	0.38	0.54	0.60	0.54	0.54	0.53
	ICC	0.86	0.82	0.87	0.88	0.85	0.86	0.86
	MAE	0.09	0.15	0.09	0.08	0.11	0.11	0.11
TPEF channel	PSNR	20.0	20.1	20.6	20.8	18.5	18.9	18.6
	SSIM	0.46	0.54	0.60	0.62	0.51	0.44	0.47
	ICC	0.76	0.80	0.82	0.82	0.79	0.77	0.79
	MAE	0.06	0.06	0.06	0.05	0.09	0.08	0.09
SHG channel	PSNR	20.1	20.1	20.7	20.7	19.1	19.7	19.6
	SSIM	0.63	0.54	0.68	0.68	0.60	0.62	0.60
	ICC	0.73	0.77	0.78	0.77	0.72	0.74	0.76
	MAE	0.05	0.07	0.04	0.05	0.06	0.06	0.06
MM image	PSNR	19.7	18.3	20.0	20.2	18.4	18.8	18.4
	SSIM	0.55	0.49	0.60	0.64	0.55	0.53	0.54
	ICC	0.78	0.80	0.82	0.82	0.79	0.79	0.80
	MAE	0.07	0.09	0.06	0.06	0.09	0.08	0.09