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Experimental results of revised Misell algorithm for imaging through weakly scattering biological tissue

机译:修正的Misell算法通过弱散射生物组织成像的实验结果

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A Static random perturbation weakly scattering media may significantly reduce image quality, in many kinds of applications. An example of such a medium can be a soft tissue such as skin or flesh, through which one may wish to image an object, such as a bone, located behind. In this paper we present experimental results of newly developed deblurring approach for obtaining a better image of objects positioned behind static random perturbation media. This approach for extraction of the high spatial frequencies is based on iterative computation similar to the well-known Gerchberg-Saxton algorithm for phase retrieval. By focusing a camera onto three or more planes positioned between the imaging camera and the perturbation media, we are able to retrieve the phase distribution of those planes and then reconstruct the intensity of the object by numerical free-space propagation of this extracted complex field, to the estimated position of the object.
机译:在许多应用中,静态随机扰动弱散射介质可能会大大降低图像质量。这种介质的示例可以是诸如皮肤或肉的软组织,人们可能希望通过它们对位于其后的物体(例如骨骼)进行成像。在本文中,我们介绍了新开发的去模糊方法的实验结果,该方法可获取位于静态随机扰动介质后面的物体的更好图像。这种提取高空间频率的方法是基于迭代计算的,该迭代计算与众所周知的用于相位检索的Gerchberg-Saxton算法相似。通过将相机聚焦到位于成像相机和摄动介质之间的三个或更多平面上,我们能够检索这些平面的相位分布,然后通过此提取的复杂场的数值自由空间传播来重建物体的强度,到物体的估计位置。

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