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Block Wiener-based image registration for moving target indication

机译:基于块维纳的图像配准,用于移动目标指示

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This paper develops a block Wiener-based image registration method to align consecutive frames in a video sequence. The main purpose of this registration technique is to serve as a processing step in a moving target indication (MTI) algorithm, where subsequent steps include frame-to-frame differencing and thresholding. Experiments show that the block Wiener-based approach is computationally efficient and effective in terms of facilitating a MTI. These experiments compare the block Wiener-based against traditional global parametric registration, pixel-based Wiener registration, block-based motion compensation, and state-of-the-art phase-based registration.
机译:本文开发了一种基于维纳块的图像配准方法,以对齐视频序列中的连续帧。该配准技术的主要目的是用作移动目标指示(MTI)算法中的处理步骤,其中后续步骤包括帧间差异和阈值化。实验表明,基于块维纳的方法在促进MTI方面具有计算效率和有效性。这些实验将基于维纳的块与传统的全局参数配准,基于像素的维纳配准,基于块的运动补偿和基于最新状态的配准进行了比较。

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