Chromatic-Aberration-Corrected Hyperspectral Single-Pixel Imaging
Chromatic-Aberration-Corrected Hyperspectral Single-Pixel Imaging
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DOI：
10.3390/photonics10010007
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发表时间：
2022-12
期刊：
影响因子：
2.4
通讯作者：
Ying Liu;Zhaohua Yang;Yuan-Jin Yu;Ling-An Wu;Mingcong Song;Zhilong Zhao
中科院分区：
文献类型：
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作者：
Ying Liu;Zhaohua Yang;Yuan-Jin Yu;Ling-An Wu;Mingcong Song;Zhilong Zhao
随着高光谱单像素成像（SPI）系统的不断发展，光学结构的简单性和色差的校正之间的权衡是需要考虑的重要因素。为了同时解决这两个问题，我们提出了一个色差校正的高光谱单像素成像方案，这是基于光谱测量和色散校正。通过光学模拟和概念验证实验对其消色差特性进行了评估。此外，为了克服传统算法的缺点，采用了一种新的自适应迭代算法，可以进一步优化图像质量。结果表明，在我们的系统中的色散和噪声显着减少。以位置坐标方差作为品质因数，与传统高光谱SPI相比，我们在400 - 780 nm的光谱范围内实现了横向色差的数量级改善。同时，在我们的系统中的对比度噪声比平均提高了3 dB。据我们所知，这是第一次这样的演示，该技术为未来在整个可见光范围内的高空间/光谱分辨率的综合应用提供了可能性，该系统有可能缩小规模，用于未来的综合应用。
With the emerging development of hyperspectral single-pixel imaging (SPI) systems, the trade-off between the simplicity of optical structure and the correction of chromatic aberration is now an essential factor to be considered. To address both issues simultaneously, we propose a chromatic-aberration-corrected hyperspectral single-pixel imaging scheme, which is based on spectral measurement and dispersion correction. Its achromatism feature is evaluated by optical simulations and proof-of-concept experiments. Moreover, to overcome the shortcomings of traditional algorithms, a new adaptive iterative algorithm is employed, which can further optimize image quality. The results demonstrate that both dispersion and noise in our system are significantly reduced. Taking the position coordinate variance as a figure of merit, we have realized an order of magnitude improvement in the lateral chromatic aberration over the spectral range of 400–780 nm compared to that in conventional hyperspectral SPI. Meanwhile, the contrast-to-noise ratio in our system is enhanced on average by 3 dB. To the best of our knowledge, this is the first such demonstration, and the technique presents possibilities for future integrated applications of high spatial/spectral resolution over the entire visible range, and the system has the potential to be scaled down for future integrated applications.