Abstract
To realize super-resolution optical and terahertz imaging by the sub-wavelength hole arrays with extraordinary optical transmission (EOT) performance, the related sampling template structure is studied. In this paper, Hadamard matrix, cyclic S matrix and matrix chosen by random matrix selector are defined as a small probability matrix. The sub-wavelength coding imaging template based on the structure of this small probability matrix have extraordinary optical transmission (EOT) performance, which is the basis for achieving super-resolution imaging. It is showed that, in the case of array detector, high signal-to-noise ratio (SNR) improvement (exceeded 22) can be obtained only by sampling one frame using the imaging template designed by 3 order cyclic S matrix. For single detector, the SNR improvement using various order of cyclic S matrix designed imaging template is higher than N a quadratic root obtained by Hadamard matrix in classical Hadamard transform optical imaging method, and much higher than half a quadratic root of N by classical cyclic S matrix.
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Acknowledgment
This research was partly supported by the National Natural Science Foundation of China “NSAF” Joint Fund Grants U1230109 and the National Natural Science Foundation of China Fund Grants 30627001, 60672058. This research was also supported by State Key Laboratory of Digital Manufacturing Equipment & Technology of HUST and advanced manufacturing testing center (School of Mechanical Science and Engineering of HUST).
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Ye, M., Ye, H., Yan, G. (2017). HADAMARD Transform Sample Matrix Used in Compressed Sensing Super-Resolution Imaging. In: Huang, Y., Wu, H., Liu, H., Yin, Z. (eds) Intelligent Robotics and Applications. ICIRA 2017. Lecture Notes in Computer Science(), vol 10464. Springer, Cham. https://doi.org/10.1007/978-3-319-65298-6_71
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DOI: https://doi.org/10.1007/978-3-319-65298-6_71
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