Initialization Algorithm for Blind Image Separation Based on Curvelet Sparse Representation
Junhua Wang · 2009
A new initialization algorithm for blind separation of images is proposed based on curvelet sparse representation.A mixed matrix can be estimated by estimating the center of received signals.This method can improve convergence and effectively avoid falling into local minima.Simulation results show that the proposed algorithm can achieve better performance for blind source separation of images.