利用采样分集提高分辨率

D. Granrath
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引用次数: 0

摘要

在对普通物体进行多帧成像时,在某些情况下会出现采样分集。当欠采样传感器拍摄的图像没有重复采样在物体上的位置时,就会出现采样分集。欠采样导致局部混叠现象,近距离观察可以看到帧间的局部小差异。接近采样极限的小物体特征可以表现出剧烈的变化,如果在奈奎斯特,甚至可能消失。多帧可以与凸集投影(POCS)方法相结合[1],从而显著提高分辨率。在坐标线性变换的假设下,我们讨论了一种使用快速分数阶傅里叶变换在fft时间内计算结果的算法[2]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Resolution improvement using sampling diversity
Sampling diversity occurs under certain circumstances during multiple-frame imaging of a common object. When an undersampled sensor takes images without repeating the locations of the samples on the object, sampling diversity will occur. The undersampling causes the local phenomenon of aliasing, and small local differences between frames can be seen upon close inspection. Small object features near the sampling limit can exhibit radical changes and may even vanish if at Nyquist. The multiple frames can be combined with a Projection Onto Convex Sets (POCS) approach [1], resulting in significant resolution improvement. Under the assumption of linear transformation of coordinates, we discuss an algorithm that computes the result in FFT-time using the Fast Fractional Fourier Transform [2].
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