Abstract
Image fusion is the combining process of relevant information from one or more images to create a single image with more informational content. In remote sensing applications, the spatial resolution of the multispectral images is enhanced using detail information from the panchromatic images which have a higher resolution. This process is known as pansharpening. One of the most used pansharpening method is based on wavelet decomposition. The edge information from the panchromatic image is injected in the wavelet decomposition of the multispectral image. In this paper a fusion method based on morphological wavelets is proposed. The main advantage of morphological wavelets is the computing complexity, because only integer operations are used.
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Bejinariu, S.I., Rotaru, F., Niţă, C.D., Costin, M. (2013). Morphological Wavelets for Panchromatic and Multispectral Image Fusion. In: Balas, V., Fodor, J., Várkonyi-Kóczy, A., Dombi, J., Jain, L. (eds) Soft Computing Applications. Advances in Intelligent Systems and Computing, vol 195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33941-7_50
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DOI: https://doi.org/10.1007/978-3-642-33941-7_50
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