Multi-focus image fusion based on efficient sharpness measure with global and local phase coherence

Abstract

In multi-focus image fusion, the focus regions of different source images are fused into an all-focus image. The focus measure based on sharpness information is very important. In this paper, both global and local phase coherence of source images are used to effectively measure the image sharpness. Then a novel image fusion algorithm is proposed, which combines new sharpness measure and structural similarity characteristics of source images. Experimental results demonstrate that the proposed algorithm has good subjective and objective evaluations compared with other conventional algorithms based on sharpness measure.