Abstract
Aiming at the random dislocation of data between adjacent rows induced by PMMW imaging scanning, a novel displacement estimation and correction algorithm was proposed based on the correlation feature of the scene and the phase-shift property of the Fourier Transform (SP-DEC). In order to estimate and correct the displacement in the spatial domain, the proposed algorithm fits the low frequency phase difference of adjacent rows by the least-squares method, and compensates the linear phase shift in the frequency domain. A sine/cosine filter and an adaptive method of fitting window selection are used to improve the estimation accuracy of displacement. Experimental results of a visible image and the actual dislocated PMMW image demonstrates that the proposed algorithm can achieve displacement estimation and correction with high precision on sub-pixel level.
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