Blind Image Restoration Using LCNN with Sparse Penalty
Qingxin Zhu · Dianzi Ke-ji Daxue xuebao · 2008
In order to improve sparsity and robustness,a novel sparse penalty function based on smoothly clipped absolute diviation(SCAD) is proposed and applied to Lagrange Constraint Neural Network(LCNN) . This method can solve ill-conditioned problem and improve sparsity,stability,and accuracy in blind image restoration. Both artificial and real-world data are calculated under some different restoration methods. Results of the experiments show that Lagrange constraint neural network with sparse penalty has better restoration effect.