计算机科学
人工智能
计算机视觉
图像传感器
迭代重建
相位恢复
图像处理
图像分辨率
光学
图像(数学)
数学
物理
傅里叶变换
数学分析
作者
Vivek Boominathan,Jesse K. Adams,Jacob T. Robinson,Ashok Veeraraghavan
标识
DOI:10.1109/tpami.2020.2987489
摘要
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.
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