Journal
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
Volume 42, Issue 7, Pages 1618-1629Publisher
IEEE COMPUTER SOC
DOI: 10.1109/TPAMI.2020.2987489
Keywords
Cameras; Image reconstruction; Two dimensional displays; Lenses; Three-dimensional displays; lensless imaging; diffractive masks; phase retrieval refocusing; 3D imagin
Funding
- NSF [CAREER: IIS-1652633]
- NIH [R21EY029459]
- DARPA [NESD: HR0011-17-C0026]
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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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