Post-processing enhancement for multifocus image fusion

An enhancement method of the multifocus images fusion result is proposed. It is a two step approach: first a classic fusion method is applied and a fusion map is built, indicating the weight of each input image in the fusion process. The fusion map is a binary or gray level image. In a second step, because it is noisy, this image is filtered. The fused image obtained in the first step is rebuilt based on the filtered fusion map. The proposed method was tested together with two classic fusion methods: multifocus image fusion using morphological wavelets and information level based multifocus image fusion.