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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of Infrared, Millimeter, and Terahertz Waves
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
