An image fusion method based on contourlet transform,independent component analysis(ICA) and support vector machine(SVM) is proposed.Firstly,the contourlet transform is used to perform a multi-scale decomposition of each image.Then,the ICA is used to extract the independent component features of the high-frequency components.And the SVM optimized by a particle swarm algorithm is trained to classify the fused image.Finally the fused coefficients are reconstructed to obtain the fusion results.The experimental...