Robust compressed ghost imaging against environmental influence factors

Xiao Zhang*, Haozhe Zhong, Liangqi Cao

*此作品的通讯作者

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8 引用 (Scopus)
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摘要

Ghost imaging based on sparse sampling is sensitive to the environmental influence factors frequently encountered in practice, such as instrumental drift and ambient light change, which could cause degradation of image quality. In this manuscript, we report a robust compressed sensing technique which could effectively reduce the influence of measurement errors on image quality. For demonstration purposes, we implement the proposed technique to ghost imaging, namely differential compressed sensing ghost imaging (DCSGI). By applying differential measurements n times, the first n Taylor expansion polynomials of the error could be eliminated in n-order DCSGI. It has been verified theoretically and experimentally that DCSGI works well with typical errors which exists in the realities of ghost imaging applications, while the conventional approach can hardly. In addition, the proposed technique may also replace conventional compressed sensing in other applications for anti-interference high-quality reconstruction.

源语言英语
页(从-至)1669-1676
页数8
期刊Optics Express
31
2
DOI
出版状态已出版 - 15 1月 2024

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Zhang, X., Zhong, H., & Cao, L. (2024). Robust compressed ghost imaging against environmental influence factors. Optics Express, 31(2), 1669-1676. https://doi.org/10.1364/OE.507909