全息术中数值图像重建方法的比较

Z. Garaguly, M. Kozlovszky, L. Kovács
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引用次数: 1

摘要

为了重建真实或虚拟图像的相位和强度,对完整的数字全息图像进行了处理。这种重构是用衍射积分的数值定义来实现的。其中一种可能的实现是菲涅耳近似,它采用了唯一的傅里叶变换。另一种方法是将衍射公式解释为卷积积分,如果我们计算公式,由于变换,它将是两倍或三倍。波场的脉冲响应应该用这种卷积方法来表示,从中可以立即确定傅里叶变换。脉冲响应和傅里叶变换可以立即确定,或者很好地近似。菲涅耳法和卷积法的本质区别在于合成图像的大小不同。此外,菲涅耳过程的尺寸取决于物体和传感器的距离,以及照明光的波长;但在另一种情况下,它是无效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of numerical image reconstruction methods in holography
In favour of the reconstruction of the real or virtual image's phase and intensity, the complete digital holographic images are being processed. This reconstruction takes place with the numerical definition of the diffraction integral. One of the possible realization is the Fresnel approximation, which employs a sole Fourier-transformation. Another method is to interpret the diffraction formula as a convolution integral, and if we calculate the formula, it will be doubled or tripled because of the transformation. The impulse response of wave fields should be represented in this convolution approach, from which the Fourier transform can be immediately determined. The impulse response as well as the Fourier transform can be immediately specified, or well approximated. The essential distinction between the Fresnel and convolution approach is the different size of resultant images. Furthermore, this size in case of the Fresnel process depends on the distance of the object and the sensor, as well as the wavelength of the illuminating light; but in the other case, it is invalid.
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