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Jiang, \u201cFusiongan: A generative adversarial network for infrared and visible image fusion,\u201d Inform. Fusion, vol.48, pp.11-26, 2019. 10.1016\/j.inffus.2018.09.004","DOI":"10.1016\/j.inffus.2018.09.004"},{"key":"5","doi-asserted-by":"publisher","unstructured":"[5] H. Li, X.-J. Wu, and J. Kittler, \u201cRfn-nest: An end-to-end residual fusion network for infrared and visible images,\u201d Inform. Fusion, vol.73, pp.72-86, 2021. 10.1016\/j.inffus.2021.02.023","DOI":"10.1016\/j.inffus.2021.02.023"},{"key":"6","doi-asserted-by":"publisher","unstructured":"[6] X. Liu, R. Wang, H. Huo, X. Yang, and J. Li, \u201cAn attention-guided and wavelet-constrained generative adversarial network for infrared and visible image fusion,\u201d Infrared Physics &amp; Technology, vol.129, 104570, 2023. 10.1016\/j.infrared.2023.104570","DOI":"10.1016\/j.infrared.2023.104570"},{"key":"7","doi-asserted-by":"publisher","unstructured":"[7] J. Ma, C. Chen, C. Li, and J. Huang, \u201cInfrared and visible image fusion via gradient transfer and total variation minimization,\u201d Inform. Fusion, vol.31, pp.100-109, 2016. 10.1016\/j.inffus.2016.02.001","DOI":"10.1016\/j.inffus.2016.02.001"},{"key":"8","unstructured":"[8] H. Zhang, X. Han, and H. Han, \u201cInfrared and visible image fusion based on a rolling guidance filter,\u201d (in Chinese) Infrared Technol., vol.44, no.6, pp.598-603, 2022."},{"key":"9","doi-asserted-by":"publisher","unstructured":"[9] J. Chen, X. Li, and K. Wu, \u201cInfrared and visible image fusion based on relative total variation decomposition,\u201d Infrared Phys. Technol., vol.123, 104112, 2022. 10.1016\/j.infrared.2022.104112","DOI":"10.1016\/j.infrared.2022.104112"},{"key":"10","doi-asserted-by":"publisher","unstructured":"[10] M. Li, J. Liu, W. Yang, X. Sun, and Z. Guo, \u201cStructure-revealing low-light image enhancement via robust retinex model,\u201d IEEE Trans. Image Process., vol.27, no.6, pp.2828-2841, 2018. 10.1109\/tip.2018.2810539","DOI":"10.1109\/TIP.2018.2810539"},{"key":"11","doi-asserted-by":"crossref","unstructured":"[11] S. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein, \u201cDistributed optimization and statistical learning via the alternating direction method of multipliers,\u201d Foundations and Trends\u00ae in Machine learning, vol.3, no.1, pp.1-122, 2011. 10.1561\/2200000016","DOI":"10.1561\/2200000016"},{"key":"12","doi-asserted-by":"crossref","unstructured":"[12] L. Xu, C. Lu, Y. Xu, and J. Jia, \u201cImage smoothing via <i>L<\/i><sub>0<\/sub> gradient minimization,\u201d Proc. 2011 SIGGRAPH Asia conference, pp.1-12, 2011. 10.1145\/2024156.2024208","DOI":"10.1145\/2070781.2024208"},{"key":"13","doi-asserted-by":"publisher","unstructured":"[13] Y. Liu, Z. Yan, J. Tan, and Y. Li, \u201cMulti-purpose oriented single nighttime image haze removal based on unified variational retinex model,\u201d IEEE Trans. Circuits Syst. Video Technol., vol.33, no.4, pp.1643-1657, 2023. 10.1109\/tcsvt.2022.3214430","DOI":"10.1109\/TCSVT.2022.3214430"},{"key":"14","doi-asserted-by":"publisher","unstructured":"[14] J.J. Lewis, R.J. O&apos;Callaghan, S.G. Nikolov, D.R. Bull, and N. Canagarajah, \u201cPixel-and region-based image fusion with complex wavelets,\u201d Information fusion, vol.8, no.2, pp.119-130, 2007. 10.1016\/j.inffus.2005.09.006","DOI":"10.1016\/j.inffus.2005.09.006"},{"key":"15","doi-asserted-by":"publisher","unstructured":"[15] V.P.S. Naidu, \u201cImage fusion technique using multi-resolution singular value decomposition,\u201d Def. Sci. J., vol.61, no.5, pp.479-484, 2011. 10.14429\/dsj.61.705","DOI":"10.14429\/dsj.61.705"},{"key":"16","unstructured":"[16] A. Toet, \u201cTno image fusion dataset.\u201d https:\/\/figshare.com\/articles\/dataset\/TNO_Image_Fusion_Dataset\/1008029, 2014."},{"key":"17","doi-asserted-by":"publisher","unstructured":"[17] J.W. Roberts, J.A. van Aardt, and F.B. Ahmed, \u201cAssessment of image fusion procedures using entropy, image quality, and multispectral classification,\u201d J. Appl. Remote Sens., vol.2, no.1, 023522, 2008. 10.1117\/1.2945910","DOI":"10.1117\/1.2945910"},{"key":"18","doi-asserted-by":"publisher","unstructured":"[18] B.K. Shreyamsha Kumar, \u201cMultifocus and multispectral image fusion based on pixel significance using discrete cosine harmonic wavelet transform,\u201d Signal, Image Video Process., vol.7, no.6, pp.1125-1143, 2013. 10.1007\/s11760-012-0361-x","DOI":"10.1007\/s11760-012-0361-x"},{"key":"19","doi-asserted-by":"publisher","unstructured":"[19] H.R. Sheikh and A.C. Bovik, \u201cImage information and visual quality,\u201d IEEE Trans. Image Process., vol.15, no.2, pp.430-444, 2006. 10.1109\/tip.2005.859378","DOI":"10.1109\/TIP.2005.859378"},{"key":"20","doi-asserted-by":"publisher","unstructured":"[20] V. Aslantas and E. Bendes, \u201cA new image quality metric for image fusion: The sum of the correlations of differences,\u201d AEU-Int. J. Electron. Commun., vol.69, no.12, pp.1890-1896, 2015. 10.1016\/j.aeue.2015.09.004","DOI":"10.1016\/j.aeue.2015.09.004"},{"key":"21","doi-asserted-by":"publisher","unstructured":"[21] Z. Wang and A.C. Bovik, \u201cA universal image quality index,\u201d IEEE Signal Process. Lett., vol.9, no.3, pp.81-84, 2002. 10.1109\/97.995823","DOI":"10.1109\/97.995823"},{"key":"22","doi-asserted-by":"publisher","unstructured":"[22] K. Ma, K. Zeng, and Z. Wang, \u201cPerceptual quality assessment for multi-exposure image fusion,\u201d IEEE Trans. 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