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Multi-resolution single-pixel imaging via Hadamard ‘pipeline’ coding

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Abstract

Multi-resolution imaging is one of the key means to obtain the target scene information. The Hadamard matrix, which is orthogonal, is an important modulation matrix for single-pixel imaging. In particular, it can provide a good means for multi-resolution imaging. However, as far as we know, studies of high-efficiency multi-resolution single-pixel imaging are rare in the literature. In view of the practical application requirements of fast multi-resolution imaging, we propose a multi-resolution single-pixel imaging method based on Hadamard ‘pipeline’ coding, which can directly generate two-dimensional Hadamard basis patterns and multi-resolution Hadamard optimization sequences, whereby both the memory consumption and the complexity of coding implementation for multi-resolution imaging can be significantly reduced. The commonly used optimization method of Hadamard optimization sequence implementation and time consumption are also discussed. This method provides a new approach for Hadamard sequence optimization and multi-resolution single-pixel imaging applications.

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Acknowledgements

This work is supported by the Science and Technology Planning Project of Jilin Province (Grant no. 20200404141YY); the Special Funds for Provincial Industrial Innovation in Jilin Province (Grant nos. 2018C040-4, 2019C025, 2020C018-4); the Science Foundation of the Education Department of Jilin Province (Grant no. 2019LY508L35).

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Authors and Affiliations

  1. Center for Quantum Sciences and School of Physics, Northeast Normal University, Changchun, 130024, China

    Cheng Zhou, Gangcheng Wang & Kang Xue

  2. Institute for Interdisciplinary Quantum Information Technology, Jilin Engineering Normal University, Changchun, 130052, China

    Cheng Zhou & Lijun Song

  3. Jilin Engineering Laboratory for Quantum Information Technology, Changchun, 130052, China

    Cheng Zhou, Xiwei Zhao, Xue Wang & Lijun Song

  4. College of Science, Shanghai Institute of Technology, Shanghai, 201418, China

    Heyan Huang

Authors
  1. Cheng Zhou
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  2. Xiwei Zhao
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  3. Heyan Huang
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  4. Gangcheng Wang
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  5. Xue Wang
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  6. Lijun Song
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  7. Kang Xue
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Correspondence to Lijun Song or Kang Xue.

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Zhou, C., Zhao, X., Huang, H. et al. Multi-resolution single-pixel imaging via Hadamard ‘pipeline’ coding. Appl. Phys. B 126, 163 (2020). https://doi.org/10.1007/s00340-020-07512-6

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  • DOI: https://doi.org/10.1007/s00340-020-07512-6

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