Abstract
The property of Multiscale transform can be used to decompose a complex and highly correlated problem into a set of irrelevant or less correlated problems, which is very useful for processing the information of images for the purpose of fusion. In this paper, two representative multiscale image fusion methods, namely the Laplacian pyramid(LP) and the discrete wavelet transform(DWT), have been studied. The study is focused on the influence of the number of level, fusion rules and wavelet bases to the fusion performance for multi-focus images fusion, since this type of studies was seldom proposed in previous research. The DWT is generally thought more powerful than the LP but the comparison of the fusion performance indicates that LP outperforms DWT.
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