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Registration of motion-distorted interlaced images captured by a scanning vector imaging sensor

机译:扫描矢量成像传感器捕获的运动失真隔行图像的配准

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摘要

We present an algorithm to realign images distorted by motion and vibrations captured in cameras that use a scanning vector sensor with an interlaced scheme. In particular, the method is developed for images captured by a staggered time delay and integration camera distorted by motion. The algorithm improves the motion-distorted image by adjusting its fields irrespective of the type of motion that occurs during the exposure. The algorithm performs two tasks: estimation of the field relative motion during the exposure by a normal least-squares estimation technique and improvement of the degraded image from such motion distortion. The algorithm uses matrix computations; therefore it has a computation advantage over algorithms based on the technique of searching for a match. The algorithm is successfully demonstrated on both simulated and real images.
机译:我们提出了一种算法,用于重新排列因使用隔行扫描方案的扫描矢量传感器而在摄像机中捕获的运动和振动而失真的图像。特别地,该方法被开发用于由交错的时间延迟捕获的图像以及由于运动而失真的集成相机。该算法通过调整其场而不考虑曝光期间发生的运动类型来改善运动失真的图像。该算法执行两个任务:通过正常的最小二乘估计技术估计曝光期间的场相对运动,以及根据这种运动失真来改善退化图像。该算法使用矩阵计算;因此,与基于匹配搜索技术的算法相比,它具有计算优势。该算法已在模拟和真实图像上成功演示。

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