Image fusion based on Fast and Adaptive Bidimensional Empirical Mode Decomposition

摘要

The recently introduced Fast and Adaptive Bidimensional Empirical Mode Decomposition (FABEMD) method is evaluated in image fusion applications. The FABEMD method does not suffer from the problems related to the traditional two dimensional scattered data interpolation based EMD method. As a result, the quality of the extracted Bidimensional Intrinsic Mode Functions (BIMFs) are better and the whole process is less time-consuming, a desirable feature for real-world image fusion. Besides, the ability to generate the same number of BIMFs with matching scales and the structure recognition capability facilitate heterogeneous applications. Simulation results demonstrate the effectiveness of the proposed approach in the context of multi-focus image fusion.