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Compressive Ghost Imaging of the Moving Object Using the Low-Order Moments
2020
Applied Sciences
Ghost imaging reconstructs the image based on the second-order correlation of the repeatedly measured light fields. When the observed object is moving, the consecutive sampling procedure leads to a motion blur in the reconstructed images. To overcome this defect, we propose a novel method of ghost imaging to obtain the motion information of moving object with a small number of measurements, in which the object could be regarded as relatively static. Our method exploits the idea of compressive
doi:10.3390/app10217941
fatcat:qrjwia7cmne5toeuuox5op3rfa