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An Anti-interfering Reconstruction Algorithm Based on Compressed Sensing
Du M(杜梅); Zhao HC(赵怀慈); Zhao CY(赵春阳); Li B(李波)
作者部门光电信息技术研究室
会议名称3rd International Conference on Electric and Electronics (EEIC 2013)
会议日期December 24-25, 2013
会议地点Hong Kong
会议录名称3rd International Conference on Electric and Electronics (EEIC 2013)
出版者Atlantis Press
出版地Amsterdam
2013
页码441-445
收录类别CPCI(ISTP)
WOS记录号WOS:000346236100104
产权排序1
关键词Anti-interference Compressed Sensing Image Reconstruction Gaussian Random Interference
摘要When images compressed by traditional transformation-based compression algorithms are transmitted over wireless channels, if the gaussian random interference causes the loss of the crucial transformation coefficients, the contents of the reconstructed images will be lost obviously and this will reduce the accuracy of the subsequent detection and recognition results greatly. In order to solve this problem, this paper proposed an antiinterfering image reconstruction algorithm based on compressed sensing. This algorithm first confirmed the new compressed sensing signals and the new reconstruction matrix based on the locations of the compressed sensing signal components corresponding to the gaussian-interfered bit stream, and then reconstructed the original images employing the iterative threshold algorithm. The simulation results demonstrated that the new algorithm reconstructed exact images at low bit error rates, and reconstructed inexact images whose qualities were slightly lowered without loss of local contents at high bit error rates. As a result, our algorithm is able to overcome the deficiencies of compression algorithms based on diverse transformations and the iterative threshold algorithm, thus proposes a feasible solution scheme for the anti-interfering problem that arises in wireless image transmission.
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/13849
专题光电信息技术研究室
通讯作者Du M(杜梅)
作者单位1.Shenyang Institute of automation, Chinese Academy of Science, Shenyang, China
2.University of Chinese Academy of Sciences, Beijing, China
3.Key Laboratory of Optical-Electronics Information Processing, Chinese Academy of Science, Shenyang, China
4.Key Laboratory of Image Understanding and Computer Vision, Shenyang, China
推荐引用方式
GB/T 7714
Du M,Zhao HC,Zhao CY,et al. An Anti-interfering Reconstruction Algorithm Based on Compressed Sensing[C]. Amsterdam:Atlantis Press,2013:441-445.
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