LightDiffu DCE： low light image enhancement based on light intensity diffusion

Table 1. Ablation experiments on Exdark dataset
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Table 1. Ablation experiments on Exdark dataset
M1 M2 M3 NIQE↓ PIQE↓ RISQ↓
10.54 12.59 11.91
√ 9.91 12.07 10.14
√ √ 9.75 11.94 9.76
√ √ √ 9.66 11.81 9.31

Table 2. Ablation experiments on LOL dataset
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Table 2. Ablation experiments on LOL dataset
M1 M2 M3 PSNR↑ SSIM↑ RMSE↓
17.57 0.63 2165.03
√ 18.49 0.67 1876.41
√ √ 19.52 0.68 1319.17
√ √ √ 19.70 0.69 1084.89

Table 3. Comparative experimental results of different algorithms on ExDark and LOL datasets

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Table 3. Comparative experimental results of different algorithms on ExDark and LOL datasets

算法	Exdark			LOL
算法	NIQE	PIQE	RISQ	PSNR	SSIM	MSE	NIQE
RetinexNet	11.23	13.75	13.31	16.77	0.56	4 830.05	12.94
ZERO-DCE	10.54	12.59	11.91	17.57	0.63	2 165.03	12.62
ZERO-DCE++	10.17	12.46	11.20	18.02	0.64	1 847.43	12.45
NeRCo	9.41	11.98	10.63	18.28	0.66	1 608.50	12.07
SCINet	9.83	12.49	10.95	17.78	0.62	2 810.28	11.47
LightDiffu-DCE	9.66	11.81	9.31	19.70	0.69	1 084.89	11.04

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Guanghui YAN, Baijing WU, Long MA. LightDiffu DCE： low light image enhancement based on light intensity diffusion[J]. Optics and Precision Engineering, 2025, 33(7): 1114

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