27 September 2016 Toward image registration process: Using different interpolation methods in case of subpixel displacement
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Interpolating for data sample is required in many image processing methods. For example, in the estimation of displacement which are smaller than one pixel. In the case of displacement calculation in an image sequence using the numerical method, Newton-Rapson is very common to use a linear interpolator due to its simplicity and speed. However this method generates discontinuous functions. Therefore, theoretically it should not be used in combination with Newton-Rapson due to the use of the derivative in the numerical method. This work shows a comparative analysis of different interpolators, along with a comparison between "real world" and image displacements and their relationship. All of this with the purpose of identifying which interpolator offers the most exact approximation in the estimation of displacement calculation.
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Deyanira Flores Padilla, Deyanira Flores Padilla, Hugo Jimenez-Hernández, Hugo Jimenez-Hernández, Jaqueline Reynosa Canseco, Jaqueline Reynosa Canseco, "Toward image registration process: Using different interpolation methods in case of subpixel displacement", Proc. SPIE 9951, Optical System Alignment, Tolerancing, and Verification X, 99510O (27 September 2016); doi: 10.1117/12.2237961; https://doi.org/10.1117/12.2237961


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