Schematic diagram of their pseudothermal ghost imaging system and their reconstruction algorithm (IMAGE)
Caption
a, Sketch of the apparatus. Speckle illumination modes generated by the RGG were divided into a reference path that was directly measured by a pixelated camera and an object path that was measured by a single-pixel detector after interacting with the sample. b, Raw speckle patterns H (top) and intensity sequence I (bottom) measured by the camera and the single-pixel detector, respectively. c, Correlating H and I one can get a low-quality result especially when the sampling ratio β in our case is as low as 10%. Then, we feed it into the neural network and keep it fixed. The output of the neural network is taken as the estimated object, which is then numerically multiplied with H to generate the estimated intensity sequence. We measure the mean square error between I and the estimated intensity sequence as the loss function to guide the update of weights in the neural network.
Credit
by Fei Wang, Chenglong Wang, Mingliang Chen, Wenlin Gong, Yu Zhang, Shensheng Han, and Guohai Situ
Usage Restrictions
Credit must be given to the creator.
License
CC BY