基于图像信息熵的ptychography轴向距离误差校正

发布时间：2018-03-02 18:09

  本文选题：ptychography　切入点：轴向距离误差　出处：《物理学报》2017年16期 　论文类型：期刊论文

【摘要】：在轴向距离参与运算的ptychography算法中,轴向距离误差会使重建图像变模糊并降低图像的分辨率.本文基于菲涅耳衍射理论建立了轴向距离误差模型,根据不同轴向距离误差对重构图像清晰度的影响,提出用图像信息熵确定图像最清晰时的轴向距离,并重建出清晰的ptychography图像.比较了图像能量变化、Tamura系数和图像信息熵这三种图像清晰度评价函数在轴向距离误差校正过程中的分布情况,发现它们均具有单峰性,且峰值确定的轴向距离相同.图像信息熵相比其他两种图像清晰度评价函数具有更高的灵敏性.仿真以及实验均证明了基于图像信息熵的ptychography轴向误差校正的可行性.
[Abstract]:In the ptychography algorithm in which the axial distance is involved in the operation, the axial distance error will make the reconstructed image blur and reduce the resolution of the image. In this paper, based on the Fresnel diffraction theory, the axial distance error model is established. According to the influence of different axial distance errors on the sharpness of reconstructed image, an image information entropy is proposed to determine the axial distance when the image is clearest. A clear ptychography image is reconstructed, and the distribution of the three image definition evaluation functions, namely, the energy variation of the image and the information entropy of the image, in the process of the correction of the axial distance error is compared, and it is found that they all have a single peak. The axial distance determined by the peak value is the same. The image information entropy is more sensitive than the other two image definition evaluation functions. The simulation and experiments show the feasibility of the ptychography axial error correction based on the image information entropy.
【作者单位】： 南京理工大学电子工程与光电技术学院;南京师范大学物理科学与技术学院;
【基金】：国家自然科学基金(批准号:61575095,61377015,61505080) 中国科协“青年人才托举工程”(批准号:2015QNRC001)资助的课题~~
【分类号】：O439;TP391.41
，

本文编号：1557608