A new passive millimeter-wave (PMMW) image acquisition and reconstruction method is proposed based on
compressed sensing (CS) and spatial sparse scanned imaging. In this method, the images are sparse sampled through a
variety of spatial sparse scanned trajectories, and are reconstructed by using conjugate gradient-total variation recovery
algorithm. The principles and applications of CS theories are described, and the influence of the randomness of the
measurement matrix on the quality of reconstruction images is studied. Based on the above work, the qualities of the
reconstructed images which were obtained by the sparse sampling method were analyzed and compared. The research
results show that the proposed method can effectively reduce the image scanned acquisition time and can obtain
relatively satisfied reconstructed imaging quality.
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