Image Fusion Based on Multi-morphological Component Analysis
By combining the multi-scale decomposition and sparse representation,an image fusion algorithm based on multi-morphological component analysis(MCA)is proposed in this paper.The fusion method based on joint sparse representation(JSR)is employed to fuse the redundant and complementary information in the cartoon sub-images,and the fusion method based on directional feature is used to fuse the texture sub-images with more detailed information and noise.The results show that the proposed algorithm is superior to the state-of-the-art image fusion methods in subjective visual effects and objective evaluation metrics.
国家科技期刊平台
NSTL
万方数据
维普
