Laser & Infrared, Volume. 55, Issue 2, 226(2025)
Multi-scale enhancement of laser images based on variable structure deep learning
[1] [1] Sobue M, Otake H, Takehara H, et al. Enhancing infrared color reproducibility through multispectral image processing using RGB and three infrared channels[J]. Optical Engineering, 2022, 61(6): 063107-1-063107-11.
[2] [2] Ciprin-Snchez J. F, Ochoa-Ruiz G, Gonzalez-Mendoza M, et al. FIRe-GAN: a novel deep learning-based infrared-visible fusion method for wildfire imagery[J]. Neural Computing & Applications, 2023, 35(25): 18201-18213.
[8] [8] Tolie H F, Ren J, Elyan E. DICAM: deep inception and channel-wise attention modules for underwater image enhancement[J]. Neurocomputing, 2024, 584(1): 127585-127599.
[9] [9] Zhang L, Yan L, Li S, et al. MMDCP: an image enhancement algorithm incorporating multi-channel phase activation and multi-constrained dark channel prior[J]. International Journal of Pattern Recognition and Artificial Intelligence, 2024, 38(4): 53-67.
[18] [18] Wasih M, Ahmad S, Almekkawy M. A robust cascaded deep neural network for image reconstruction of single plane wave ultrasound RF data[J]. Ultrasonics, 2023, 132(8): 1-5.
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DI Li, WANG Qi, LIU Shan-feng, WANG Wan-xin, MAO Wan-deng. Multi-scale enhancement of laser images based on variable structure deep learning[J]. Laser & Infrared, 2025, 55(2): 226
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Received: Jun. 18, 2024
Accepted: Apr. 3, 2025
Published Online: Apr. 3, 2025
The Author Email: LIU Shan-feng (dushan32481626@163.com)