An image BSS algorithm based on curvelet transform
Junhua Wang · 2008
A blind image separation algorithm based on curvelet transform is proposed in this paper. The image sparse representation based on MGA is used to get better sparse signal in transform field. The proposed algorithm is able to get separation matrix and separate received mixed images with a simple operation. The simulation results show the better separation precision and convergence rate of the proposed algorithm.