Enhancement of low-quality reconstructed digital hologram images based on frequency extrapolation of large objects under the diffraction limit
Enhancement of low-quality reconstructed digital hologram images based on frequency extrapolation of large objects under the diffraction limit
复制标题
基于衍射极限下大物体频率外推的低质量重建数字全息图像增强
DOI：
10.1007/s10043-016-0211-0
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发表时间：
2016-03
期刊：
影响因子：
1.2
通讯作者：
刘宁
中科院分区：
文献类型：
--
作者：
刘宁
在数字全息图的重建过程中，重建图像通常会受到散斑噪声的影响，从而难以观察到原始物体的图案。本文提出了一种新的重建图像增强方法，该方法首先使用自适应高斯滤波器降低散斑噪声，然后基于频率外推策略计算属于目标模式的高频。所提出的频率外推法首先计算傅里叶滤波图像的频谱，该图像最初是根据全息图的+1阶重建的，然后给出迭代解决方案的初始参数。解析迭代通过连续梯度阈值收敛来估计图像水平和垂直梯度信息。通过原始谱的解析迭代和梯度谱分析得到预测谱。最后，利用预测梯度谱对原始谱进行综合校正，得到恢复图像的重建谱。我们在非常接近衍射极限的情况下进行了实验，并使用低质量的设备来证明我们方法的可行性。文中给出了详细的分析和图形演示。
During the reconstruction of a digital hologram, the reconstructed image is usually degraded by speckle noise, which makes it hard to observe the original object pattern. In this paper, a new reconstructed image enhancement method is proposed, which first reduces the speckle noise using an adaptive Gaussian filter, then calculates the high frequencies that belong to the object pattern based on a frequency extrapolation strategy. The proposed frequency extrapolation first calculates the frequency spectrum of the Fourier-filtered image, which is originally reconstructed from the +1 order of the hologram, and then gives the initial parameters for an iterative solution. The analytic iteration is implemented by continuous gradient threshold convergence to estimate the image level and vertical gradient information. The predicted spectrum is acquired through the analytical iteration of the original spectrum and gradient spectrum analysis. Finally, the reconstructed spectrum of the restoration image is acquired from the synthetic correction of the original spectrum using the predicted gradient spectrum. We conducted our experiment very close to the diffraction limit and used low-quality equipment to prove the feasibility of our method. Detailed analysis and figure demonstrations are presented in the paper.
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