Image Fusion Based on Multi-morphological Component Analysis

Abstract:

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.