A Region Based Optimal Multifocus Image Fusion Scheme

Abstract

In the region based image fusion methods, the source images are partitioned into distinct regions using various segmentation techniques. The segmented regions are fused using different fusion approaches. This paper presents a region based multifocus image fusion scheme employing fuzzy c-means (FCM) clustering and optimal independent component bases. The bases are optimized using modified particle swarm optimization (MPSO). The different regions in the input images are obtained using FCM. The optimal bases are used to fuse the regions in the independent component analysis (ICA) based transform domain. The results found using the suggested method is compared with two other techniques. The simulation results reveal that the suggested procedure is better as compared to the other two techniques.