Abstract: A type of symmetry,short support,two vanishing moments and orthogonally high performance multi wavelets was designed,and the parallel fusion algorithm that was beneficial for both the smooth regions of seismic image signal and that of the edge,texture component was put foreworded. The experiments and the quantitative measurement of the fusion results show that the fusion performance is better than signal wavelet and suitable for seismic image fusion application. By combining the seismic image fusion technology with the parallel program design,using the virtual node technology,the multi machine parallel image fusion platform in the multi-core processor was built.Resultsshow that parallel fusion method based on multi-core system saves the data addressing time. Compared with parallel,the execution time of this algorithm decreases with the increase of the number of nodes,and the parallel operation is more standardized,concise,and in accordance with the characteristics of the strong algorithm operating rules.