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Pseudo complementary measurement for traditional single-pixel cameras

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摘要 A traditional single-pixel camera needs a large number of measurements to reconstruct the object with compressive sensing computation.Compared with the 1/0 matrices in classical measurement,the 1/-1 matrices in the complementary measurement has better property for reconstruction computation and returns better reconstruction results.However,each row of the 1/-1 matrices needs two measurements with the traditional single-pixel camera which results into double measurements compared with the 1/0 matrices.In this paper,we consider the pseudo complementary measurement which only takes the same amount of measurements with the row number of some properly designed 1/0 matrix to compute the total luminous flux of the objective and derives the measurement data of the corresponding 1/-1 matrix in a mathematical way.The numerical simulation and experimental result show that the pseudo complementary measurement is an efficient tool for the traditional single-pixel camera imaging under low measurement rate,which can combine the advantages of the classical and complementary measurements and significantly improve the peak signal-to-noise ratio.
作者 Qian Dong Xu-Ri Yao Xin Liu Bing Liu Guang-Jie Zhai 董乾;姚旭日;刘歆;刘冰;翟光杰(State Key Laboratory of Computer Science,Institute of Software,Chinese Academy of Sciences,Beijing 100190,China;Key Laboratory of Electronics and Information Technology for Space Systems,National Space Science Center,Chinese Academy of Sciences,Beijing 100190,China;State Key Laboratory of Scientific and Engineering Computing,Academy of Mathematics and Systems Science,Chinese Academy of Sciences,Beijing 100190,China;University of Chinese Academy of Sciences,Beijing 100049,China)
出处 《Chinese Physics B》 SCIE EI CAS CSCD 2020年第11期315-322,共8页 中国物理B(英文版)
基金 Project supported by the National Key Research and Development Program of China(Grant No.2018YFB0504302) the Youth Innovation Promotion Association of Chinese Academy of Sciences the National Natural Science Foundation of China(Grant Nos.11701545,11971466,and 11991021).
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