Abstract
Image fusion is the art of combining two different images which are either captured on different times, using different sensors, from different focal points or from different modalities to fuse the best available within two into single one. The fusion of infrared and visible images has a widespread application in the field of military surveillance and night vision imaging technologies. The era of evolution of various transforms has led to the documentation of various efficient representational algorithms in literature, for instance, Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) for the fusion of images. It is clearly stated in the field of image fusion that high quality of source images largely affects the image fusion rate. Therefore, in this paper, we explore and compare various transform-based image fusion techniques for noisy visible and infrared images.
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References
Ma, J., Ma, Y., Li, C.: Infrared and visible image fusion methods and applications: a survey. Inf. Fusion 45, 153–178 (2019)
Li, S., Kang, X., Fang, L., Hu, J., Yin, H.: Pixel-level image fusion: A survey of the state of the art. Inf. Fusion 33, 100–112 (2017)
James, A.P., Dasarathy, B.V.: Medical image fusion: A survey of the state of the art. Inf. Fusion 19, 4–19 (2014)
Dogra, A., Goyal, B., Agrawal, S.: From multi-scale decomposition to non-multi-scale decomposition methods: a comprehensive survey of image fusion techniques and its applications. IEEE Access 5, 16040–16067 (2017)
Waxman, A.M., Gove, A.N., Fay, D.A., Racamato, J.P., Carrick, J.E., Seibert, M.C., Savoye, E.D.: Color night vision: opponent processing in the fusion of visible and IR imagery. Neural Netw. 10(1), 1–6 (1997)
Toet, A.: Iterative guided image fusion. Peer J.Comput. Sci. 2, e80 (2016)
Kumar, B.S.: Image fusion based on pixel significance using cross bilateral filter. SIViP 9(5), 1193–1204 (2014)
Ghassemian, H.: A review of remote sensing image fusion methods, Inf. Fusion 32, 75–89 (2016)
Dogra, A., Goyal, B., Agrawal, S., Ahuja, C.: K: Efficient fusion of osseous and vascular details in wavelet domain. Pattern Recogn. Lett. 94, 189–193 (2017)
Dogra, A., Agrawal, S., Goyal, B., Khandelwal, N., Ahuja, C.K.: Color and grey scale fusion of osseous and vascular information. J. Comput. Sci. 17, 103–114 (2016)
Dogra, A., Goyal, B., Agrawal, S.: Current and future orientation of anatomical and functional imaging modality fusion. Biomed. Pharmacol. J. 10(4), 1661–1663 (2017)
Zheng, Y.: Image Fusion and its applications (2011)
Misiti, M., Misiti, Y., Oppenheim, G., Michel, J.P.: Wavelet toolbox: for use with MATLAB (1996)
Naidu, V.P.S.: Discrete cosine transform-based image fusion. Def. Sci. J. 60(1), 48–54 (2010)
Kumar, B.S.: Multifocus and multispectral image fusion based on pixel significance using discrete cosine harmonic wavelet transform. SIViP 7(6), 1125–1143 (2013)
Paramanandham, N., Rajendiran, K.: Infrared and visible image fusion using discrete cosine transform and swarm intelligence for surveillance applications. Infrared Phys. Technol. 88, 13–22 (2018)
Jin, X., Jiang, Q., Yao, S., Zhou, D., Nie, R., Lee, S.J., He, K.: Infrared and visual image fusion method based on discrete cosine transform and local spatial frequency in discrete stationary wavelet transform domain. Infrared Phys. Technol. 88, 1–12 (2018)
Kingsbury, N.: Rotation-invariant local feature matching with complex wavelets. In: 2006 14th European Signal Processing Conference, pp 1–5. IEEE (2006)
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Sharma, A.M., Vig, R., Dogra, A., Goyal, B., Agrawal, S. (2020). A Comparative Analysis of Transforms for Infrared and Visible Image Fusion. In: Choudhury, S., Mishra, R., Mishra, R., Kumar, A. (eds) Intelligent Communication, Control and Devices. Advances in Intelligent Systems and Computing, vol 989. Springer, Singapore. https://doi.org/10.1007/978-981-13-8618-3_10
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DOI: https://doi.org/10.1007/978-981-13-8618-3_10
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