A multi-scale mixed convolutional network for infrared image super-resolution reconstruction
Author:
Funder
Humanity and Social Science Foundation of Ministry of Education, China
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15359-0.pdf
Reference41 articles.
1. Alain H, Ziou D (2010) Image quality metrics: PSNR vs. SSIM, 2010 20th international conference on pattern recognition. Istanbul. https://doi.org/10.1109/ICPR.2010.579
2. Alejandro G, Fang Z, Yainuvis S et al (2016) Pedestrian detection at day/night time with visible and FIR cameras: a comparison. Sensors 16(6):820. https://doi.org/10.3390/s16060820
3. Andreas NS (1997) Space-based infrared system (SBIRS) system of systems. IEEE Aerospace Conf:429–438
4. Anwar S, Khan S, Barnes N (2020) A deep journey into super-resolution: a survey. ACM Comput Surv 53(3):1–34. https://doi.org/10.1145/3390462
5. Baker S, Kanade T (2002) Limits on super-resolution and how to break them. IEEE Trans Pattern Anal Mach Intell 24(9):1167–1183. https://doi.org/10.1109/cvpr.2000.854852
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