Logical Image Reconstruction by Monitoring a Seeded Potential in Variable Detection Planes
Logical Image Reconstruction by Monitoring a Seeded Potential in Variable Detection Planes
复制标题
通过监测可变检测平面中的种子电势来重建逻辑图像
DOI：
10.1109/access.2020.3039121
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发表时间：
2020-01-01
期刊：
影响因子：
3.9
通讯作者：
Liu，Hongjun
中科院分区：
文献类型：
--
作者：
Zhang，Yongbin;Huang，Nan;Liu，Hongjun
空间微分、逻辑变换、加减运算等光学图像计算在信号增强、变换和提取等方面具有重要意义，但这些非线性方法在非相干或散射成像中受到限制。在这里，逻辑白光图像重建，作为非相干和散射图像的光学图像计算方法，提出了通过监测在可变检测平面的种子电位。弱的白光信号共同种子的基础上，在光折变晶体中的种子调制不稳定性的散射噪声为代价的潜力。然后通过灵敏地探测籽晶电位，记录不同探测平面上的探测光强度分布，实现逻辑成像运算。该方法具有很强的弹道信号记录、再现和反转能力。数值计算和实验结果显示了一种新的物理现象，即光波通过种子势的间接相互作用以不同的形式出现。实验结果表明，该方法可以有效地处理纯图像、旋转漫射器散射图像和雾散射图像，无论是在背光照明下还是在前光照明下。我们的工作为全光学图像处理、恢复和计算提供了一种替代方法。
Optical image computing, such as spatial differentiation, logical transform, and addition-subtraction operation, is of great importance to signal enhancement, transform, and extraction, but such nonlinear methods are restrained in incoherent or scattering imaging. Here, the logical white-light image reconstruction, as an optical image computing method for incoherent and scattered images, is proposed by monitoring a seeded potential in variable detection planes. The weak white-light signals collectively seed a potential at the expense of scattering noise based on seeded modulation instability in a photorefractive crystal. Then the logical image operation is achieved by sensitively probing the seeded potential and recording the intensity distribution of the probe beam in different detection planes. The proposed method has a strong ability of ballistic signal recording, reproduction, and reversal. The numerical and experimental results show a new physical phenomena in which the indirect interaction between light waves through a seeded potential is presented in different forms. The nonlinear method is proved to effectively operate pure images, the images scattered by a rotating diffuser, and the images scattered by fogs whether under back lighting or under front lighting. Our work suggests an alternative method for all-optical image processing, recovery, and computing.