000268660 001__ 268660
000268660 005__ 20190812204806.0
000268660 0247_ $$2doi$$a10.1109/ICCPHOT.2019.8747325
000268660 020__ $$a978-1-7281-3263-1
000268660 02470 $$a10.1109/ICCPHOT.2019.8747325$$2DOI
000268660 037__ $$aCONF
000268660 245__ $$aA Bit Too Much? High Speed Imaging from Sparse Photon Counts
000268660 269__ $$a2019-06-27
000268660 260__ $$bIEEE$$c2019-06-27
000268660 300__ $$a9
000268660 336__ $$aConference Papers
000268660 520__ $$aRecent advances in photographic sensing technologies have made it possible to achieve light detection in terms of a single photon. Photon counting sensors are being increasingly used in many diverse applications. We address the problem of jointly recovering spatial and temporal scene radiance from very few photon counts. Our ConvNet-based scheme effectively combines spatial and temporal information present in measurements to reduce noise. We demonstrate that using our method one can acquire videos at a high frame rate and still achieve good quality signal-to-noise ratio. Experiments show that the proposed scheme performs quite well in different challenging scenarios while the existing approaches are unable to handle them.
000268660 700__ $$aChandramouli, Paramanand
000268660 700__ $$g170471$$0244135$$aBurri, Samuel
000268660 700__ $$aBruschini, Claudio$$0170471$$g109304
000268660 700__ $$aCharbon, Edoardo$$0240305$$g146991
000268660 700__ $$aKolb, Andreas
000268660 7112_ $$a2019 IEEE International Conference on Computational Photography (ICCP)$$cTokyo, Japan$$dMay 15-17, 2019
000268660 773__ $$t2019 IEEE International Conference on Computational Photography (ICCP)$$q1-9
000268660 8560_ $$falessandra.bianchi@epfl.ch
000268660 909C0 $$xU12178$$pAQUA$$0252106$$zMarselli, Béatrice
000268660 909CO $$pconf$$pSTI$$ooai:infoscience.epfl.ch:268660
000268660 960__ $$aclaudio.bruschini@epfl.ch
000268660 961__ $$aalessandra.bianchi@epfl.ch
000268660 973__ $$aEPFL$$rREVIEWED
000268660 980__ $$aCONF
000268660 981__ $$aoverwrite