Fig. 3.

(a) 1D-schematic of the conventional image data acquisition leading to the HR images; (b) the sparse image data acquisition and reconstitution from the compressed data set into the LR images. Red elements represent a fiber strand collecting light illuminated by the tissue surface and green elements are a set of pixels displayed as average value of light intensity in the adjacent fiber. (c) 2D-illustration of the simulated sparse image data; $s$ and $m$ are the length of side of FOV and ROI, respectively; $d_x$ and $d_y$ are the offsets in $x$ and $y$ directions, respectively.