Passive imaging of single photon flux: strategies for de-noising, motion blur reduction and super-resolution up-scaling

M. Laurenzis; T. Seets; E. Bacher; A. Ingle; A. Velten

doi:10.1117/12.2598445

12 September 2021 Passive imaging of single photon flux: strategies for de-noising, motion blur reduction and super-resolution up-scaling

M. Laurenzis, T. Seets, E. Bacher, A. Ingle, A. Velten

Author Affiliations +

Proceedings Volume 11868, Emerging Imaging and Sensing Technologies for Security and Defence VI; 1186805 (2021) https://doi.org/10.1117/12.2598445
Event: SPIE Security + Defence, 2021, Online Only

Abstract

Single photon-counting avalanche photo-diode (SPAD) can measure the photon flux from uncorrelated single photons. In present work, we show how the sensor photon count rate is related to the intensity or the radiant flux that is reflected from surfaces in the sensor's field of view and incident on the sensor array. After a brief theoretical discussion of photon flux imaging, we examine various de-noising strategies and the effect of motion blur. Finally, we present the application of a fast super-resolution neural network (FSRCNN) to scale image by a scaling factor of 3× to obtain super-resolution images (32 × 32 → 96 × 96).

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Citation Download Citation

M. Laurenzis, T. Seets, E. Bacher, A. Ingle, and A. Velten "Passive imaging of single photon flux: strategies for de-noising, motion blur reduction and super-resolution up-scaling", Proc. SPIE 11868, Emerging Imaging and Sensing Technologies for Security and Defence VI, 1186805 (12 September 2021); https://doi.org/10.1117/12.2598445

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