PhlatCam: Designed Phase-Mask Based Thin Lensless Camera

PhlatCam: Designed Phase-Mask Based Thin Lensless Camera
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DOI:
10.1109/tpami.2020.2987489
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发表时间:
2020-07-01
影响因子:
23.6
通讯作者:
Veeraraghavan, Ashok
Veeraraghavan, Ashok
中科院分区:
计算机科学1区
文献类型:
--
作者:
Boominathan, Vivek;Adams, Jesse K.;Veeraraghavan, Ashok

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我们展示了一种多功能薄无镜头相机,其设计的相位掩模位于距离成像CMOS传感器2毫米以下的位置。使用波动光学和相位检索方法,我们提出了一个通用框架来创建相位掩模,以实现所需相机厚度所需的锐点扩展函数(psf)。从一个单一的二维编码测量,我们展示了高分辨率二维图像的重建,计算重聚焦和三维成像。我们提出的高性能基于轮廓的PSF使这种能力成为可能。利用信号处理中的概念,设计了启发式的基于轮廓的PSF,以实现对位深度受限传感器的最大信息传输。由于编码效率高,我们可以使用快速线性方法进行高质量的图像重建,并切换到迭代非线性方法进行高保真度重建和三维成像。
We demonstrate a versatile thin lensless camera with a designed phase-mask placed at sub-2 mm from an imaging CMOS sensor. Using wave optics and phase retrieval methods, we present a general-purpose framework to create phase-masks that achieve desired sharp point-spread-functions (PSFs) for desired camera thicknesses. From a single 2D encoded measurement, we show the reconstruction of high-resolution 2D images, computational refocusing, and 3D imaging. This ability is made possible by our proposed high-performance contour-based PSF. The heuristic contour-based PSF is designed using concepts in signal processing to achieve maximal information transfer to a bit-depth limited sensor. Due to the efficient coding, we can use fast linear methods for high-quality image reconstructions and switch to iterative nonlinear methods for higher fidelity reconstructions and 3D imaging.