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    Compound eye inspired flat lensless imaging with spatially-coded Voronoi-Fresnel phase

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    Type
    Preprint
    Authors
    Fu, Qiang cc
    Yan, Dong-Ming
    Heidrich, Wolfgang cc
    KAUST Department
    Computational Imaging Group
    Computer Science Program
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Visual Computing Center (VCC)
    Date
    2021-09-28
    Permanent link to this record
    http://hdl.handle.net/10754/672092
    
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    Abstract
    Lensless cameras are a class of imaging devices that shrink the physical dimensions to the very close vicinity of the image sensor by integrating flat optics and computational algorithms. Here we report a flat lensless camera with spatially-coded Voronoi-Fresnel phase, partly inspired by biological apposition compound eye, to achieve superior image quality. We propose a design principle of maximizing the information in optics to facilitate the computational reconstruction. By introducing a Fourier domain metric, Modulation Transfer Function volume (MTFv), we devise an optimization framework to guide the optimal design of the optical element. The resulting Voronoi-Fresnel phase features an irregular array of quasi-Centroidal Voronoi cells containing a base first-order Fresnel phase function. We demonstrate and verify the imaging performance with a prototype Voronoi-Fresnel lensless camera on a 1.6-megapixel image sensor in various illumination conditions. The proposed design could benefit the development of compact imaging systems working in extreme physical conditions.
    Sponsors
    This work was supported by King Abdullah University of Science and Technology (Individual Baseline Funding). D.Y. was also supported by National Natural Science Foundation of China (62172415) and National Key Research and Development Program of China (2019YFB2204104)
    Publisher
    arXiv
    arXiv
    2109.13703
    Additional Links
    https://arxiv.org/pdf/2109.13703.pdf
    Collections
    Preprints; Computer Science Program; Visual Computing Center (VCC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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