Abstract
Image fusion technology is an emerging field of research which is gaining currency in the recent years, Such technology focuses on extracting more concise and useful information with higher quality from source images. This paper deduces and generalizes the algorithms of the existing mainstream pixel level image fusion in details and realizes the Matlab experiment and adopts the contrast analysis to analyze the research findings. Wavelet analysis theory and fusion methods based on wavelet are introduced in detail. The techniques are compared by using different objective criteria. The feasibility and effectiveness of the image fusion technology based on wavelet transform are verified by experiments.
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Acknowledgments
This research was financially supported by the National Natural Science Foundation of China (Grant Nos 61376076, 21301058, 61274026, 61575062 and 61377024); supported by the Scientific Research Fund of Hunan Provincial Education Department (Grant No. 14B060); supported by the Science and Technology Plan Foundation of Hunan Province (Grant Nos 2014FJ2017).
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Hu, S., Cao, H., Wu, X., Wu, Q., Tang, Z., Liu, Y. (2017). Comparative Analysis of Different Techniques for Image Fusion. In: Xhafa, F., Patnaik, S., Yu, Z. (eds) Recent Developments in Intelligent Systems and Interactive Applications. IISA 2016. Advances in Intelligent Systems and Computing, vol 541. Springer, Cham. https://doi.org/10.1007/978-3-319-49568-2_39
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DOI: https://doi.org/10.1007/978-3-319-49568-2_39
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