Nonlinear self-filtering of noisy images via dynamical stochastic resonance
Nonlinear self-filtering of noisy images via dynamical stochastic resonance
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DOI：
10.1038/nphoton.2010.31
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发表时间：
2010-05-01
期刊：
影响因子：
35
通讯作者：
Fleischer, Jason W.
中科院分区：
文献类型：
--
作者：
Dylov, Dmitry V.;Fleischer, Jason W.
从夜视仪和被阳光遮挡的物体，到干扰信号和有意加密的信号，探测低电平或隐藏信号是成像领域的一个基本问题。在这里，我们开发和利用了一种新型的随机共振，其中非线性耦合允许信号以牺牲噪声为代价增长，以恢复在自聚焦介质中传播的噪声隐藏图像。通过将信号-噪声相互作用视为光子束-等离子体不稳定性，可以解析地推导出增长率，并且在耦合强度、噪声统计和信号的模态含量方面与实验测量的共振相匹配。这是第一次观察到相干光和空间非相干光之间的非线性强度交换，也是第一次证明动态演化信号的空间相干共振。结果提出了一种通过种子不稳定性重建图像的通用方法，并确认了非线性通信系统中预测但尚未观察到的信息极限。
From night vision and objects overwhelmed by sunlight to jammed signals and those that are purposely encrypted, detecting low-level or hidden signals is a fundamental problem in imaging. Here, we develop and exploit a new type of stochastic resonance, in which nonlinear coupling allows signals to grow at the expense of noise, to recover noise-hidden images propagating in a self-focusing medium. The growth rate is derived analytically by treating the signal-noise interaction as a photonic beam-plasma instability and matches experimentally measured resonances in coupling strength, noise statistics and modal content of the signal. This is the first observation of nonlinear intensity exchange between coherent and spatially incoherent light and the first demonstration of spatial coherence resonance for a dynamically evolving signal. The results suggest a general method of reconstructing images through seeded instability and confirm information limits predicted, but not yet observed, in nonlinear communications systems.