Parametric Poisson process imaging

In conventional 3D imaging, a large number of detected photons is required at each pixel to mitigate the effect of signal-dependent Poisson or shot noise. Parametric Poisson process imaging (PPPI) is a new framework that enables scene depth acquisition with very few detected photons despite significant contribution from background light. Our proposed computational imager is based on accurate physical modeling of the photon detection process using time-inhomogeneous Poisson processes combined with regularization that promotes piecewise smoothness. Simulations demonstrate accurate imaging with only 1 detected photon per pixel.