SweepCam — Depth-Aware Lensless Imaging Using Programmable Masks
SweepCam — Depth-Aware Lensless Imaging Using Programmable Masks
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DOI：
10.1109/tpami.2020.2986784
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发表时间：
2020-04
影响因子：
23.6
通讯作者：
Yi Hua;Shigeki Nakamura;M. Salman Asif;Aswin C. Sankaranarayanan
中科院分区：
文献类型：
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作者：
Yi Hua;Shigeki Nakamura;M. Salman Asif;Aswin C. Sankaranarayanan
无镜头相机虽然对于在受限场景中成像非常有用，但难以解析深度变化较大的场景。为了解决这个问题，我们建议使用可编程掩模上显示的一组掩模图案进行成像，并引入有助于解析场景点深度的计算聚焦算子。因此，所提出的成像器可以解决深度变化较大的密集场景，从而使无镜头相机有更实际的应用。我们还提出了一种针对多个深度场景的快速重建算法，可将重建时间减少两个数量级。最后，我们构建了一个原型来展示所提出的方法提高了无镜头相机的图像质量和深度分辨率。
Lensless cameras, while extremely useful for imaging in constrained scenarios, struggle with resolving scenes with large depth variations. To resolve this, we propose imaging with a set of mask patterns displayed on a programmable mask, and introduce a computational focusing operator that helps to resolve the depth of scene points. As a result, the proposed imager can resolve dense scenes with large depth variations, allowing for more practical applications of lensless cameras. We also present a fast reconstruction algorithm for scene at multiple depths that reduces reconstruction time by two orders of magnitude. Finally, we build a prototype to show the proposed method improves both image quality and depth resolution of lensless cameras.