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Fourier plane and optical processing for sub-pixel image registration

机译:子像素图像配准的傅立叶平面和光学处理

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Accurate registration of image pairs is critical to a number of image processing tasks, including image splicing, change detection, image co-addition, and super-resolution processing. We have applied digital Fourier plane correlation and optical joint-transform correlation to image registration. We demonstrated RMS registration accuracy of 0.09 pixels for a digital system and 0.1 pixels for an optical system. The experimental system uses an electrically addressed spatial light modulator (SLM) at the input plane of a joint transform correlator and an optically addressed SLM at the Fourier plane. We operate our optical system in burst mode at the rate of 50 correlations per second. The paper describes digital and experimental implementations of the image registration system. We discuss preprocessing algorithms used to prepare inputs for correlation, post-processing algorithms to interpolate the output, and the effect of these processing variations on system performance.
机译:图像对的准确注册对于许多图像处理任务至关重要,包括图像拼接,改变检测,图像协同和超分辨率处理。我们应用了数字傅里叶平面相关和光学接头变换相关性与图像配准。我们展示了用于数字系统的0.09像素的RMS注册精度和用于光学系统的0.1像素。实验系统在接头变换相关器的输入平面和傅立叶平面处使用电解的空间光调制器(SLM)。我们以每秒50个相关性的速率在突发模式下操作光学系统。本文介绍了图像登记系统的数字和实验实施。我们讨论用于准备相关的输入的预处理算法,后处理算法以插入输出,以及这些处理变化对系统性能的影响。

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