L-R Imaging Algorithm for Passive Millimeter Wave Based on Sparse Representation
Cheng Ping①; Zhao Jia-qun②; Si Xi-cai①; Zhao Xin③
①College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China; ②College of Science, Harbin Engineering University, Harbin 150001, China; ③The Second Artillery Corps, Stationed in the state-operated 699 factory military representative room, Beijing 100039, China
Abstract：In passive millimeter wave image restoration, L-R algorithm is a simple and effective nonlinear method. However, when the noise can not be neglected, it is difficult for L-R algorithm to get good restoration. As a novel signal processing method, adaptive sparse representation has a merit of representing signal flexibly and can de-noise effectively when maintaining features of targets. A novel L-R algorithm is proposed based on adaptive sparse representation. It first de-noises by employing sparse signal representation, and then restores images by using L-R algorithm. The modified algorithm reduces the influence of noise on L-R algorithm effectively by using de-noise algorithm based on adaptive sparse representation. The imaging results of experiment data show that the modified algorithm proposed in the paper improves the performance of L-R algorithm, and it can be used in image restoration when the signal to noise ratio is low.
2010, Vol. 32 
