High-resolution depth profiling using a range-gated CMOS SPAD quanta image sensor
Autor: | Ximing Ren, Robert Henderson, Gerald S. Buller, Yoann Altmann, Abderrahim Halimi, Stephen McLaughlin, Istvan Gyongy, Peter W. R. Connolly |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Pulsed laser
Photon Avalanche diode business.industry Computer science Image processing 02 engineering and technology Iterative reconstruction 021001 nanoscience & nanotechnology Frame rate 01 natural sciences Atomic and Molecular Physics and Optics Photon counting 010309 optics Optics CMOS 0103 physical sciences Image sensor 0210 nano-technology business Image restoration |
Zdroj: | Ximing, R, Connolly, P, Halimi, A, Altmann, Y, McLaughlin, S, Gyongy, I, Henderson, R & Buller, G 2018, ' High-resolution depth profiling using a range-gated CMOS SPAD quanta image sensor ', Optics Express, vol. 26, no. 5, pp. 5541-5557 . https://doi.org/10.1364/OE.26.005541 |
DOI: | 10.1364/OE.26.005541 |
Popis: | A CMOS single-photon avalanche diode (SPAD) quanta image sensor is used toreconstruct depth and intensity profiles when operating in a range-gated mode used in conjunction with pulsed laser illumination. By designing the CMOS SPAD array to acquire photons within a pre-determined temporal gate, the need for timing circuitry was avoided and it was therefore possible to have an enhanced fill factor (61% in this case) and a frame rate (100,000 framesper second) that is more difficult to achieve in a SPAD array which uses time-correlated single photon counting. When coupled with appropriate image reconstruction algorithms, millimeter resolution depth profiles were achieved by iterating through a sequence of temporal delay steps in synchronization with laser illumination pulses. For photon data with high signal-to-noiseratios, depth images with millimeter scale depth uncertainty can be estimated using a standard cross-correlation approach. To enhance the estimation of depth and intensity images in the sparse photon regime, we used a bespoke clustering-based image restoration strategy, taking intoaccount the binomial statistics of the photon data and non-local spatial correlations within the scene. For sparse photon data with total exposure times of 75 ms or less, the bespoke algorithm can reconstruct depth images with millimeter scale depth uncertainty at a stand-off distance of approximately 2 meters. We demonstrate a new approach to single-photon depth and intensityprofiling using different target scenes, taking full advantage of the high fill-factor, high frame rate and large array format of this range-gated CMOS SPAD array. |
Databáze: | OpenAIRE |
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