Compressive sampling in active and passive millimeter-wave imaging

We have developed a compressive sampling method based on Hadamard transform for active and passive millimeter wave (mmW) imaging. Hadamard masks of subwavelength sized pixels were used for collecting spatial mmW modulated data with a single-pixel detector system. The image reconstruction from subsampled data was based on a real time, iterative interpolation relaxation technique in the Hadamard space. Compressive sampled active and passive imaging results show that high-fidelity images of objects may be obtained with as small as 1/9 of the data needed for a full set of acquisitions.