Single-pixel imaging using non-local means-based reconstruction algorithm

Hui Yu; Fusheng Chen; Zhijie Zhang; Chensheng Wang

doi:10.1117/12.2325537

9 October 2018 Single-pixel imaging using non-local means-based reconstruction algorithm

Hui Yu, Fusheng Chen, Zhijie Zhang, Chensheng Wang

Proceedings Volume 10795, Electro-Optical and Infrared Systems: Technology and Applications XV; 107950V (2018) https://doi.org/10.1117/12.2325537
Event: SPIE Security + Defence, 2018, Berlin, Germany

Abstract

Single-pixel imaging was initially based on a statistical model, which uses a series of random patterns for illumination. This means that it requires a great number of measurements (much larger than pixel counts) and long data-acquisition time. Therefore it is necessary to enhance the effective of information collection and reconstruction by employing some priori information. In this paper, a single pixel imaging system is proposed based on APD and Spatial light modulator. And then an image reconstruction algorithm is proposed based on non-local means (NLM). Based on that there are a large number of similar patches within an infrared image, NLM method can abstract the non-local similarity information and then the value of image pixel can be estimated. The reconstructed image is obtained by minimizing a cost function.

Citation Download Citation

Hui Yu, Fusheng Chen, Zhijie Zhang, and Chensheng Wang "Single-pixel imaging using non-local means-based reconstruction algorithm", Proc. SPIE 10795, Electro-Optical and Infrared Systems: Technology and Applications XV, 107950V (9 October 2018); https://doi.org/10.1117/12.2325537

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