Researching | Infrared and visible image fusion algorithm based on chrominance loss in high exposure scenes

Journal of Applied Optics, Volume. 46, Issue 4, 793(2025)

Infrared and visible image fusion algorithm based on chrominance loss in high exposure scenes

Tianlei MA^1,2, Yu DOU^1,2、*, Xikui MIAO³, Xianhua FENG⁴, and Zhiqiang KAI^1,2

Author Affiliations

¹School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China

²State Key Laboratory of Intelligent Agricultural Power Equipment, Luoyang 471032, China

³Key Laboratory of Electro-Optical Countermeasures Test and Evaluation Technology, Luoyang 471000, China

⁴Zhengzhou Think Freely Hi-Tech Co.,Ltd., Zhengzhou 450000, China

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Figures&Tables (15)

References (20)

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Figures & Tables(15)

Fig. 1. Flow chart of auto-encoder structure fusion network

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Fig. 2. Overall structure diagram of network

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Fig. 3. Network structure diagram of FEBlock

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Fig. 4. Network structure diagram of EXBlock

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Fig. 5. Network structure diagram of FRBlock

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Fig. 6. Loss function construction diagram

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Fig. 7. Diagrams of subjective comparison of experimental results

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Fig. 8. Folded line stacking plot of evaluation indexes for different methods

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Fig. 9. Comparison experiments in high-exposure scenarios on MSRS dataset

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Fig. 10. Comparison experiments in high-exposure scenarios on MSRS dataset

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Fig. 11. Comparison experiments in high-exposure scenarios on MSRS dataset

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Fig. 12. Ablation experiment

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Table 1. Objective evaluation results for different methods of comparison experiments

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Table 1. Objective evaluation results for different methods of comparison experiments

Method	EN	VIF	Qabf	PSNR
Hybird-MSD	7.1758	0.7034	0.3604	63.8778
MSVD	7.1618	0.6372	0.3170	62.2245
U2Fusion	6.8602	0.6962	0.4861	64.4717
PlAFusion	7.0032	0.9457	0.4763	61.6090
RFN-Nest	7.3479	0.8625	0.4484	62.3356
NestFuse	7.3870	0.9817	0.4909	62.4642
Our	7.4670	0.9765	0.4979	63.9113

Table 2. Qualitative comparison results of high-exposure scenes

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Table 2. Qualitative comparison results of high-exposure scenes

Method	EN	VIF	Qabf	PSNR
Hybird-MSD	6.8912	0.7213	0.3473	64.1311
MSVD	6.2756	0.5881	0.1856	65.1341
U2Fusion	5.5513	0.3791	0.5497	66.9736
PlAFusion	7.0157	0.9814	0.5759	64.2335
RFN-Nest	6.3579	0.6818	0.2485	67.1288
NestFuse	6.8263	0.9443	0.6011	65.7819
Our	7.1379	1.0744	0.6254	64.5447

Table 3. Quantitative comparison results of ablation experiments
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Table 3. Quantitative comparison results of ablation experiments
Method EN VIF Qabf PSNR
W/O EXBlock 6.3729 0.6376 0.5311 63.0064
$W / O L_{ch}$ 5.8247 0.5925 0.5590 62.6001
Our 7.3005 1.0241 0.6792 65.5419

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Tianlei MA, Yu DOU, Xikui MIAO, Xianhua FENG, Zhiqiang KAI. Infrared and visible image fusion algorithm based on chrominance loss in high exposure scenes[J]. Journal of Applied Optics, 2025, 46(4): 793

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Paper Information

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Received: Feb. 19, 2024

Accepted: --

Published Online: Sep. 16, 2025

The Author Email: Yu DOU (窦宇)

DOI:10.5768/JAO202546.0402002

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology