Aviv Maya, Gur Eran, Zalevsky Zeev
Bar-Ilan University, Faculty of Engineering, Ramat-Gan 52900, Israel.
Appl Opt. 2013 Apr 10;52(11):2300-5. doi: 10.1364/AO.52.002300.
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.
在许多应用中，静态随机微扰弱散射介质可能会显著降低图像质量。这种介质的一个例子可以是诸如皮肤或肌肉之类的软组织，人们可能希望透过它对位于其后方的物体（如骨骼）进行成像。在本文中，我们展示了一种新开发的去模糊方法的实验结果，该方法用于获取位于静态随机微扰介质后方物体的更好图像。这种提取高空间频率的方法基于类似于著名的用于相位恢复的格尔奇贝格 - 萨克斯顿算法的迭代计算。通过将相机聚焦到位于成像相机和微扰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，然后通过将这个提取的复场数值自由空间传播到物体的估计位置来重建物体的强度。
