A newmulti-scale scheme for image fusion is presented using texture and edge information in this paper.The origi-nal images are decomposed into texture and edge maps by pyramid structures.The coefficients corresponding to the filtered tex-ture and edge maps are solved by the singular value decomposition and the linear relationship between Gauss filter and Laws tex-ture extract filter.The decomposed images are represented using the texture and edge features in each scale

and fused using the match and salience measures based fusion strategy.To evaluate the fusion results

objective image fusion performance metrics are used.The experiment results demonstrate by several real image date that the proposed scheme can achieve better fusion perfor-mance than the traditional pyamid decomposition methods.