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30 November 2012 A subpixel motion estimation approach based on the phase correlation
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Image registration is crucial in various image fusion tasks, like super-resolution. For the success of super-resolution reconstruction, it is essential to find out high accurate subpixel motion estimation between the input images sequence. This paper proposes a frequency domain-based motion estimation algorithm for the under-sampled infrared images. The proposed algorithm which only considers pure translational motion is based on the phase-only correlation. Due to the discrete Fourier transform and subpixel displacement, the signal peak is not always concentrate in the integer coordinates. Thus, the signals adjacent to peak are utilized to estimate aliasing influence. Excellent results are obtained for subpixel translation estimation. The algorithm is also compared to other algorithms, and the analyses show that this algorithm is more robust and accurate.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hui Yu, Fu-sheng Chen, Zhi-jie Zhang, Chen-sheng Wang, and Hua-wang Chen "A subpixel motion estimation approach based on the phase correlation", Proc. SPIE 8558, Optoelectronic Imaging and Multimedia Technology II, 85580Y (30 November 2012);

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