SPI

A set of different reconstruction algorithms for single-pixel imaging (SPI).

If you have any questions, please feel free to contact Liheng Bian at bian@bit.edu.cn

If this code offers help for your research, please cite our publication:

Liheng Bian, Jinli Suo, Qionghai Dai and Feng Chen, 'Experimental comparison of single-pixel imaging algorithms,' Journal of the Optical Society of America A, 2017, vol. 35, no. 1, pp. 78-87.

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Code demo for single-pixel imaging (SPI) with different reconstruction methods including

[1] differential ghost imaging (DGI)

[2] gradient descent (GD)

[3] conjugate gradient descent (CGD)

[4] Poisson maximum likelihood (Poisson)

[5] alternating projection (AP)

[6] sparse representation compressive sensing (Sparse)

[7] total variation compressive sensing (TV)

Public release v3.0 (Oct 24, 2017)

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Contents

Note: Before running the code demo, please change Matlab current folder to “../Code_SPI_pkg_3.0”.

***************** main function *********************

*) Demo.m : This demo does the simulation of single-pixel imaging, with different reconstruction methods.

***************** reconstruction functions ********************

*) fun_SPI_R_DGI.m : This function implements the singel-pixel imaging reconstruction using the differential ghost imaging (DGI) method.

W. Gong and S. Han. ‘A method to improve the visibility of ghost images obtained by thermal light,’ Phys. Lett. A, 374(8):1005-1008, 2010. F. Ferri, D. Magatti, L.A. Lugiato, and A. Gatti. ‘Differential ghost imaging,’ Phys. Rev. Lett., 104(25):253603, 2010.

*) fun_SPI_R_GD.m : This function implements the singel-pixel imaging reconstruction using the gradient descent method.

Liheng Bian, Jinli Suo, Qionghai Dai, and Feng Chen. 'Experimental comparison of single-pixel imaging algorithms'.

*) fun_SPI_R_CGD.m : This function implements the singel-pixel imaging reconstruction using the conjugate gradient descent method.

Liheng Bian, Jinli Suo, Qionghai Dai, and Feng Chen. 'Experimental comparison of single-pixel imaging algorithms'.

*) fun_SPI_R_Poisson.m : This function implements the singel-pixel imaging reconstruction using the Poisson maximum likelihood method.

Liheng Bian, Jinli Suo, Qionghai Dai, and Feng Chen. 'Experimental comparison of single-pixel imaging algorithms'.

*) fun_SPI_R_AP.m : This function implements the singel-pixel imaging reconstruction using the alternating projection method proposed in

Kaikai Guo, Shaowei Jiang, and Guoan Zheng, ‘Multilayer fluorescence imaging on a single-pixel detector,’ Biomedical Optics Express, 7, 7, 2425 (2016).

*) fun_SPI_R_Sparse.m : This function implements the singel-pixel imaging reconstruction using the compressive sensing method under sparse DCT (descrete cosine tranform) representation regulation.

Duarte, Marco F., et al. "Single-pixel imaging via compressive sampling." IEEE signal processing magazine 25.2 (2008): 83-91. Liheng Bian, Jinli Suo, Qionghai Dai, and Feng Chen. 'Experimental comparison of single-pixel imaging algorithms'.

*) fun_SPI_R_TV.m : This function implements the singel-pixel imaging reconstruction using the compressive sensing method under total variation (TV) regulation. Liheng Bian, Jinli Suo, Qionghai Dai, and Feng Chen. 'Experimental comparison of single-pixel imaging algorithms'.

Xuemei Hu, Jinli Suo, Tao Yue, Liheng Bian and Qionghai Dai, 'Patch-primitive driven compressive ghost imaging,' Optics Express, 2015, vol. 23, no. 9, pp. 11092-11104.

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Disclaimer

Any unauthorized use of these routines for industrial or profit-oriented activities is expressively prohibited.