Optical EngineeringLaser gated-viewing advanced range imaging methods using compressed sensing and coding of range-gates
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Laser gated-viewing advanced range imaging (LGVARI) methods sample range information in a wide range area with super-resolution from a few sampling frames. Three different methods are investigated: the coding of range-gates, the compressed sensing (CS) range imaging, and a hybrid-coding-CS method. In contrast to classical range imaging methods based on Nyquist sampling, the range information is not directly visible in the single images and has to be extracted from a complete sequence by means of computational optics. With LGVARI, it is possible to sample range information from only a few frames (i.e., images) with super-resolution far beyond the limit of the Nyquist sampling theorem. It is shown that the three methods have a compression rate of <9% .