首页> 外文会议>International Symposium on Advanced Optical Manufacturing and Testing Technologies; 20070708-12; Chengdu(CN) >Reconstruction of off-axis lensless Fourier transform digital holograms based on angular spectrum theory
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Reconstruction of off-axis lensless Fourier transform digital holograms based on angular spectrum theory

机译:基于角谱理论的离轴无透镜傅立叶变换数字全息图的重建

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A simple holographic high-resolution imaging system without pre-magnification , which is based on off-axis lensless Fourier transform configuration, has been developed. Experimental investigations are performed on USAF resolution test target. The method based on angular spectrum theory for reconstructing lensless Fourier hologram is given. The reconstructed results of the same hologram at different reconstructing distances are presented for what is to our knowledge the first time. Approximate diffraction limited lateral resolution is achieved. The results show that the angular spectrum method has several advantages over more commonly used Fresnel transform method. Lossless reconstruction can be achieved for any numerical aperture holograms as long as the wave field is calculated at a special reconstructing distance, which is determined by the light wavelength and the chip size and the pixel size of the CCD sensor. This is very important for reconstructing an extremely large numerical aperture hologram. Frequency-domain spectrum filtering can be applied conveniently to remove the disturbance of zero-order. The reconstructed image wave field is accurate so long as the sampling theorem is not violated. The experimental results also demonstrate that for a high quality hologram, special image processing is unnecessary to obtain a high quality image.
机译:基于离轴无透镜傅里叶变换配置,开发了一种无需预放大的简单全息高分辨率成像系统。对USAF分辨率测试目标进行了实验研究。给出了基于角谱理论的无透镜傅里叶全息图重建方法。据我们所知,首次介绍了在不同重建距离处的相同全息图的重建结果。获得了近似衍射受限的横向分辨率。结果表明,与更常用的菲涅耳变换方法相比,角谱方法具有多个优点。只要以特殊的重构距离计算波场,就可以对任何数值孔径的全息图实现无损重构,该重构距离由光波长,CCD传感器的芯片尺寸和像素尺寸确定。这对于重建极大的数值孔径全息图非常重要。频域频谱滤波可以方便地应用于消除零阶干扰。只要不违反采样定理,重建的图像波场就是准确的。实验结果还表明,对于高质量的全息图,不需要特殊的图像处理即可获得高质量的图像。

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