Frequency Domain Estimation and Correction Algorithm of Row Displacement for Scanning PMMW Imaging

  • Jian-Yu Yang
  • Rui-Jie Tan
  • Jin-Tao Xiong
  • Liang-Chao Li


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.


PMMW image Dislocation correction between adjacent rows Linear phase difference estimation Sine/cosine filter 



This work is supported by the National Natural Science Foundation of China (NO.61201279) and the Fundamental Research Funds for the Central Universities (NO.ZYGX2012J012).


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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Jian-Yu Yang
    • 1
  • Rui-Jie Tan
    • 1
  • Jin-Tao Xiong
    • 1
  • Liang-Chao Li
    • 1
  1. 1.School of Electronic EngineeringUniversity of Electronic Science and Technology of ChinaChengduPeople’s Republic of China

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