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Infrared Image Reconstruction Based on Archimedes Spiral Measurement Matrix

  • Yilin Jiang (蒋伊琳)Email author
  • Haiyan Wang (王海艳)
  • Ran Shao (邵然)
  • Jianfeng Zhang (张建峰)
Article
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Abstract

It is a new research direction to realize infrared (IR) image reconstruction using compressed sensing (CS) theory. In the field of CS, the construction of measurement matrix is very principal. At present, the types of measurement matrices are mainly random and deterministic. The random measurement matrix can well satisfy the property of measurement matrix, but needs a large amount of storage space and has an inconvenient in hardware implementation. Therefore, a deterministic measurement matrix construction method is proposed for IR image reconstruction in this paper. Firstly, a series of points are collected on Archimedes spiral to construct a definite sequence; then the initial measurement matrix is constructed; finally, the deterministic measurement matrix is obtained according to the required sampling rate. Simulation results show that the IR image could be reconstructed by the measured values obtained through the proposed measurement matrix. Moreover, the proposed measurement matrix has better reconstruction performance compared with the Gaussian and Bernoulli random measurement matrices.

Key words

compressed sensing (CS) infrared image reconstruction deterministic measurement matrices 

CLC number

TN 911.73 

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Copyright information

© Shanghai Jiao Tong University and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Yilin Jiang (蒋伊琳)
    • 1
    Email author
  • Haiyan Wang (王海艳)
    • 1
  • Ran Shao (邵然)
    • 1
  • Jianfeng Zhang (张建峰)
    • 1
  1. 1.College of Information and Communication EngineeringHarbin Engineering UniversityHarbinChina

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