Improved Image Super-resolution Reconstruction Algorithm Based on L1-norm
Fangyu Hu · Radio Engineering of China · 2009
The mathematical model of super-resolution reconstruction and L1-norm based reconstruction algorithm is introduced.And,here,the situation where some low-resolution images are missing is considered.A new cost function is presented under the L1-norm reconstruction framework.The data fitting term and regularization term of the missed low-resolution images are added to the cost function.The alternating minimization method is used to estimate the high resolution image and missed low-resolution images.Experimental results demonstrate the effectiveness of the proposed method under condition of few low-resolution images observed.