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Blur invariant registration of rotated, scaled and shifted images

机译:旋转,缩放和移位图像的模糊不变配准

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In this paper, we propose a blur invariant image registration method that can be used to register rotated, scaled and shifted images. The method is invariant to centrally symmetric blur including linear motion and out of focus blur. The method correlates log-polar sampled phase-only bispectrum slices, which are modified for blur invariance, to estimate rotation and scale parameters. Translation parameters are estimated using a blur invariant version of phase correlation. An additional advantage of using the phase-only bispectrum is the invariance to uniform illumination changes. We present also results of numerical experiments with comparisons to similar registration methods which do not possess blur in-variance properties. The results show that the image registration accuracy of our method is much better when images are blurred.
机译:在本文中,我们提出了一种模糊不变图像配准方法,该方法可用于配准旋转,缩放和移位的图像。该方法对于包括线性运动和离焦模糊在内的中央对称模糊不变。该方法将对数极性采样的仅相位双谱切片进行了相关处理(针对模糊不变性进行了修改),以估计旋转和缩放参数。使用相位相关的模糊不变形式估计转换参数。使用仅相位的双光谱的另一个优点是不变的均匀照明变化。我们还提供了与不具有模糊不变性属性的类似配准方法进行比较的数值实验结果。结果表明,当图像模糊时,我们的方法的图像配准精度要好得多。

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