  A new multifocus image fusion approach is presented in this paper. First the
contourlet transform is used to decompose the source images into different
components. Then, some salient features are extracted from components. In order
to extract salient features, spatial frequency is used. Subsequently, the best
coefficients from the components are selected by the maximum selection rule.
Finally, the inverse contourlet transform is applied to the selected
coefficients. Experiments show the superiority of the proposed method.
