  Imaging across both the full transverse spatial and temporal dimensions of a
scene with high precision in all three coordinates is key to applications
ranging from LIDAR to fluorescence lifetime imaging. However, compromises that
sacrifice, for example, spatial resolution at the expense of temporal
resolution are often required, in particular when the full 3-dimensional data
cube is required in short acquisition times. We introduce a sensor fusion
approach that combines data having low-spatial resolution but high temporal
precision gathered with a single-photon-avalanche-diode (SPAD) array with set
of data that has high spatial but no temporal resolution, such as that acquired
with a standard CMOS camera. Our method, based on blurring the image on the
SPAD array and computational sensor fusion, reconstructs time-resolved images
at significantly higher spatial resolution than the SPAD input, upsampling
numerical data by a factor 12x12, and demonstrating up to 4x4 upsampling of
experimental data. We demonstrate the technique for both LIDAR applications and
FLIM of fluorescent cancer cells. This technique paves the way to high spatial
resolution SPAD imaging or, equivalently, FLIM imaging with conventional
microscopes at frame rates accelerated by more than an order of magnitude.
