RL Algorithm for Passive Millimeter Wave Imaging Based on BM3D

Abstract:

In a passive millimeter wave (PMMW) imaging system, the resolution of the acquired image is limited by the antenna size. The Richardson—Lucy (RL) algorithm is a simple and nonlinear method, which can improve the resolution of the image. However, when the noise can not be neglected, it is difficult for RL algorithm to get good restoration of the corrupted image. To the best of our knowledge, the block-matching with 3D transform domain collaborative filtering (BM3D) algorithm achieves very good performance in image de-noising. In order to improve the resolution of passive millimeter wave images, a RL imaging algorithm for passive millimeter wave based on BM3D is proposed in this paper. The modified algorithm effectively reduces the influence of noise on RL algorithm by using de-noise algorithm based on BM3D. Experimental results demonstrate that the proposed algorithm improves the performance of RL algorithm. Furthermore, the algorithm can be easily implemented for passive millimeter wave imaging．

• Periodical: Applied Mechanics and Materials (Volumes 411-414)
• Pages: 1155-1158
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.411-414.1155
• Online since: September 2013
• Authors: Yi Ming Niu, Can Cui, Guo Yang, Wen Wu
• Keywords: BM3D, Passive Millimeter Wave (PMMW) Imaging, Rl Algorithm, Super-Resolution

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