Practical computational imaging by use of spatiotemporal light modulation: from simulations to applications in biological microscopy
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In this article we propose a new super-resolution algorithm tailored for light field cameras, which suffer by design from a limited spatial resolution. To do so, we cast the light field super-resolution problem into an optimization problem, where the parti ...
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We present a semi-blind, spatially-variant deconvolution technique aimed at optical microscopy that combines a local estimation step of the point spread function (PSF) and deconvolution using a spatially variant, regularized Richardson-Lucy algorithm. To f ...
Super-resoln. imaging of living cells can reveal nanoscopic details of live biol. systems. The development of small-mol. fluorophores that allow optimal imaging conditions is the key to enable live-specimen imaging with minimal invasiveness. The authors re ...
Light field cameras capture the 3D information in a scene with a single exposure. This special feature makes light field cameras very appealing for a variety of applications: from post-capture refocus, to depth estimation and image-based rendering. However ...
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