Compressed sensing imaging system based on improved theoretical model and its weighted iterative strategy
Y.H.Li; X.D.Wang; Z.Wang
刊名Optics Communications
2019
卷号439页码:76-84
关键词Computational imaging,Compressed sensing,Image restoration,reconstruction,exposure,Optics
ISSN号0030-4018
DOI10.1016/j.optcom.2019.01.050
英文摘要Based on the characteristic analysis of the traditional block-based compressed sensing system, an improved compressed sensing theory model is proposed in this paper, and its hardware implementation scheme and the overall system workflow are specified according to the model requirements. Compared with the traditional block-based compressed sensing system, the linear array detector is used instead of the area array detector in the system, and the one-dimensional encoding is adopted instead of the two-dimensional encoding to simplify the encoding process. The experimental results show that the system proposed by this paper can significantly improve the image quality compared with the block-based compressed sensing system under the same system conditions, and eliminate the block effect that is common in the block-based compressed sensing system. On the basis of the proposed system, a weighted iterative restoration strategy based on frequency estimation is proposed. By adaptively adjusting the restoration process and optimizing the distribution of computing resources, the image quality is further improved.
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语种英语
内容类型期刊论文
源URL[http://ir.ciomp.ac.cn/handle/181722/63233]  
专题中国科学院长春光学精密机械与物理研究所
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Y.H.Li,X.D.Wang,Z.Wang. Compressed sensing imaging system based on improved theoretical model and its weighted iterative strategy[J]. Optics Communications,2019,439:76-84.
APA Y.H.Li,X.D.Wang,&Z.Wang.(2019).Compressed sensing imaging system based on improved theoretical model and its weighted iterative strategy.Optics Communications,439,76-84.
MLA Y.H.Li,et al."Compressed sensing imaging system based on improved theoretical model and its weighted iterative strategy".Optics Communications 439(2019):76-84.
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