像素集成薄膜滤波器模拟和缩放折衷
Pixel-integrated thin-film filter simulation and scaling trade-offs
摘要：
薄膜光学滤波器如今可以集成到用于光谱成像的商业图像传感器的像素上。在图像传感器上具有更多滤波器的缺点是空间分辨率的损失，这可以通过使用更小的像素来恢复。然而，这项工作表明，小型化会导致透射率降低，需要在像素大小和滤波器带宽之间进行权衡。这是由衍射和滤光片中反射次数减少引起的。分析波和射线光学模型的开发和用于快速透射率预测，这是使用商业光谱传感器和数值模拟验证。所确定的折衷是像素集成薄膜滤波器技术的固有限制，并且所开发的模型将是用于探索新的硬件和计算解决方案的有用工具。
英文摘要：
Thin-film optical filters can nowadays be integrated onto pixels of commercial image sensors used for spectral imaging. A drawback of having more filters on an image sensor is a loss in spatial resolution which could be regained by using smaller pixels. However, this work shows that miniaturization causes a reduction in transmittance and requires a trade-off between pixel size and filter bandwidth. This is caused by diffraction and the reduced number of reflections in the filter. Analytical wave and ray optics models are developed and used for fast transmittance prediction and this is validated using a commercial spectral sensor and numerical simulations. The identified trade-off is an intrinsic limitation of pixel-integrated thin-film filter technology and the developed models will be useful tools for exploring new hardware and computational solutions.
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