Multi-Focus Image Fusion Using Spatial Frequency and Genetic Algorithm

In this paper the authors have presented a block based multi-focus image fusion algorithm using spatial frequency and GA, which combines pixel-level and feature-level fusion. The basic idea is to divide the source images into blocks, and then select the corresponding blocks with higher spatial frequency value to construct the resultant fused image. GA is brought forward to search for the optimized sizes of the block. Performance analysis reveals that the method outperforms the fusion by Haar wavelet and morphological wavelet method, particularly when there is movement in the objects or mis-registration of the source images.