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Reconstructing a scattered image via spatial cross-phase modulation instability in partially incoherent beams

机译:通过部分相干光束中空间交叉相位调制的不稳定性重建散射图像

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A technology of stochastic resonance is proposed for reconstructing a scattered image, which is based on the spatial cross-phase modulation instability between partially incoherent beams. An original model is built to describe the nonlinear coupling, in which the energy directionally transfers from the background noise to the weak signal. Through reasonably controlling the noise statistics and coupling strength in a nonlinear medium, the profile and details of the underlying image dominated by the scattering noise are efficiently recovered with remarkable cross-correlation gains. This work suggests an efficient method of image detection and holds potential for broader imaging applications in dynamic scattering environments. (C) 2019 The Japan Society of Applied Physics
机译:提出了一种基于部分非相干光束之间空间交叉相位调制不稳定性的,用于重建散射图像的随机共振技术。建立了一个原始模型来描述非线性耦合,其中能量从背景噪声定向转移到微弱信号。通过合理地控制非线性介质中的噪声统计量和耦合强度,可以以显着的互相关增益有效地恢复由散射噪声主导的基础图像的轮廓和细节。这项工作提出了一种有效的图像检测方法,并为动态散射环境中的更广泛的成像应用保留了潜力。 (C)2019日本应用物理学会

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  • 来源
    《Applied physics express》 |2019年第1期|012007.1-012007.5|共5页
  • 作者单位

    Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China|Univ Chinese Acad Sci, Beijing 100084, Peoples R China;

    Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China|Shanxi Univ, Collaborat Innovat Ctr Extreme Opt, Taiyuan 030006, Shanxi, Peoples R China;

    Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China;

    Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China;

    Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China|Univ Chinese Acad Sci, Beijing 100084, Peoples R China;

    Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China|Univ Chinese Acad Sci, Beijing 100084, Peoples R China;

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