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Advanced Image Registration Techniques and Applications

机译:先进的图像配准技术和应用

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摘要

Accurate image registration (with subpixel accuracy) techniques are critical components for many advanced image processing systems such as the time-differencing system and the super-resolution imaging system. In this paper, several image registration methods are compared and evaluated. Performance of registration accuracy is evaluated using several LWIR and CCD video imagery by two metrics: RMSE (root mean square error) and SCNR (signal-to-clutter noise-ratio) gain (improvement of SCNR). Promising applications for iris biometric identification, super-resolution image enhancements, heavy background clutter suppression for improving moving target detection have been presented in this paper.
机译:精确的图像配准(具有亚像素精度)技术是许多高级图像处理系统(例如时差系统和超分辨率成像系统)的关键组件。本文对几种图像配准方法进行了比较和评估。使用两个LWIR和CCD视频图像通过两个指标评估配准精度的性能:RMSE(均方根误差)和SCNR(信噪比噪声比)增益(SCNR的提高)。本文提出了在虹膜生物特征识别,超分辨率图像增强,重背景杂波抑制以改善运动目标检测方面的有前景的应用。

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