Abstract: This text puts forwards a new multi-sensor image fusion algorithm based on the second-generation Curvelet transform and respectively discusses the fusion rules of coarse scale coefficients and fine scale coefficients. First make original images multi scale decomposed using Curvclet transform,and then transform coarse scale coefficients to equalize their strength distribution. Whereafter use the weighted average method to determine coarse scale fused coefficients and significant measure and regional matching degree joint analysis method to determine fine scale fused coefficients. Final1y, carry out consistency verification and inverse transform to acquire the fused image. The comparison between the traditional method and this new method is made from the three aspects:independent factors,united factors and comprehensive evaluation. The experiment proved the usefulness of the method, which is able to keep the edges, obtain performance parameter and better visual effect.

Key words: Image fusion,Curvelet transform,Regional matching degree