[1] Sun M J, Yan S M, Wang S Y. Reconstruction algorithms for ghost imaging and single-pixel imaging[J]. Laser & Optoelectronics Progress, 59, 0200001(2022).

[2] Gao R K, Yan L S, Xu C X et al. Two key technologies influencing on computational ghost imaging quality[J]. Laser & Optoelectronics Progress, 58, 1811011(2021).

[3] Pittman T B, Shih Y H, Strekalov D V et al. Optical imaging by means of two-photon quantum entanglement[J]. Physical Review A, 52, R3429-R3432(1995).

[4] Shapiro J H. Computational ghost imaging[J]. Physical Review A, 78, 061802(2008).

[5] Bromberg Y, Katz O, Silberberg Y. Ghost imaging with a single detector[J]. Physical Review A, 79, 053840(2009).

[6] Sun B, Edgar M P, Bowman R et al. 3D computational imaging with single-pixel detectors[J]. Science, 340, 844-847(2013).

[7] Sun M J, Edgar M P, Gibson G M et al. Single-pixel three-dimensional imaging with time-based depth resolution[J]. Nature Communications, 7, 12010(2016).

[8] Stantchev R I, Yu X, Blu T et al. Real-time terahertz imaging with a single-pixel detector[J]. Nature Communications, 11, 2535(2020).

[9] Zhu Y L, She R B, Liu W Q et al. Deep learning optimized terahertz single-pixel imaging[J]. IEEE Transactions on Terahertz Science and Technology, 12, 165-172(2022).

[10] Zhao J P, Dai J M, Braverman B et al. Compressive ultrafast pulse measurement via time-domain single-pixel imaging[J]. Optica, 8, 1176-1185(2021).

[11] Zhang H P, Li K, Wang F X et al. Megapixel X-ray ghost imaging with a binned detector in the object arm[J]. Chinese Optics Letters, 20, 033401(2022).

[12] Tan Z J, Yu H, Zhu R G et al. Single-exposure Fourier-transform ghost imaging based on spatial correlation[J]. Physical Review A, 106, 053521(2022).

[13] Zhang H P, Li K, Zhao C Z et al. Efficient implementation of X-ray ghost imaging based on a modified compressive sensing algorithm[J]. Chinese Physics B, 31, 064202(2022).

[14] Olbinado M P, Paganin D M, Cheng Y et al. X-ray phase-contrast ghost imaging using a single-pixel camera[J]. Optica, 8, 1538-1544(2021).

[15] Chen W, Sun M J, Deng W J et al. Hyperspectral imaging via a multiplexing digital micromirror device[J]. Optics and Lasers in Engineering, 151, 106889(2022).

[16] Jiang X Y, Li Z W, Du G et al. Fast hyperspectral single-pixel imaging via frequency-division multiplexed illumination[J]. Optics Express, 30, 25995-26005(2022).

[17] Tao C N, Zhu H Z, Wang X C et al. Compressive single-pixel hyperspectral imaging using RGB sensors[J]. Optics Express, 29, 11207-11220(2021).

[18] Dutta R, Manzanera S, Gambín-Regadera A et al. Single-pixel imaging of the retina through scattering media[J]. Biomedical Optics Express, 10, 4159-4167(2019).

[19] Katz O, Heidmann P, Fink M et al. Non-invasive single-shot imaging through scattering layers and around corners via speckle correlations[J]. Nature Photonics, 8, 784-790(2014).

[20] Gong W L, Zhao C Q, Yu H et al. Three-dimensional ghost imaging lidar via sparsity constraint[J]. Scientific Reports, 6, 1-6(2016).

[21] Radwell N, Johnson S D, Edgar M P et al. Deep learning optimized single-pixel LiDAR[J]. Applied Physics Letters, 115, 231101(2019).

[22] Zhao Y G, Dong B, Liu M et al. Deep learning based computational ghost imaging alleviating the effects of atmospheric turbulence[J]. Acta Optica Sinica, 41, 1111001(2021).

[23] Li C, Gao C, Shao J Q et al. Hadamard ghost imaging based on compressed sensing reconstruction algorithm[J]. Laser & Optoelectronics Progress, 58, 1011032(2021).

[24] Katz O, Bromberg Y, Silberberg Y. Compressive ghost imaging[J]. Applied Physics Letters, 95, 131110(2009).

[25] Han J F, Lian B B, Sun L Y. Adaptive construction method for binary measurement matrix based on deep learning[J]. Laser & Optoelectronics Progress, 58, 2220001(2021).

[26] Sun M J, Meng L T, Edgar M P et al. A Russian Dolls ordering of the Hadamard basis for compressive single-pixel imaging[J]. Scientific Reports, 7, 1-7(2017).

[27] Li M F, Yan L, Yang R et al. Fast single-pixel imaging based on optimized reordering Hadamard basis[J]. Acta Physica Sinica, 68, 064202(2019).

[28] Yu X, Stantchev R I, Yang F et al. Super sub-nyquist single-pixel imaging by total variation ascending ordering of the hadamard basis[J]. Scientific Reports, 10, 1-11(2020).

[29] Zhang Z B, Ma X, Zhong J G. Single-pixel imaging by means of Fourier spectrum acquisition[J]. Nature Communications, 6, 1-6(2015).

[30] Zhang Z B, Wang X Y, Zheng G A et al. Fast Fourier single-pixel imaging via binary illumination[J]. Scientific Reports, 7, 1-9(2017).

[31] Zhang Z B, Wang X Y, Zheng G A et al. Hadamard single-pixel imaging versus Fourier single-pixel imaging[J]. Optics Express, 25, 19619-19639(2017).

[32] Liu B L, Yang Z H, Liu X et al. Coloured computational imaging with single-pixel detectors based on a 2D discrete cosine transform[J]. Journal of Modern Optics, 64, 259-264(2017).

[33] Chen Y, Liu S, Yao X R et al. Discrete cosine single-pixel microscopic compressive imaging via fast binary modulation[J]. Optics Communications, 454, 124512(2020).

[34] Wang Z D. Harmonic analysis with a real frequency function. I. Aperiodic case[J]. Applied Mathematics and Computation, 9, 53-73(1981).

[35] Wang Z D. Harmonic analysis with a real frequency function. II. Periodic and bounded cases[J]. Applied Mathematics and Computation, 9, 153-163(1981).

[36] Wang Z D. Harmonic analysis with a real frequency function. III. Data sequence[J]. Applied Mathematics and Computation, 9, 245-255(1981).

[37] Wang Z D, Hunt B R. The discrete W transform[J]. Applied Mathematics and Computation, 16, 19-48(1985).

[38] Huang J, Shi D F, Yuan K E et al. Computational-weighted Fourier single-pixel imaging via binary illumination[J]. Optics Express, 26, 16547-16559(2018).