Reconstruction of pulse noisy images via stochastic resonance.

Jing Han,Nan Huang,Qibing Sun,Hongjun Liu

doi:10.1038/srep10616

Jing Han, Nan Huang + Show 2 more

Open Access

https://doi.org/10.1038/srep10616

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Abstract

We investigate a practical technology for reconstructing nanosecond pulse noisy images via stochastic resonance, which is based on the modulation instability. A theoretical model of this method for optical pulse signal is built to effectively recover the pulse image. The nanosecond noise-hidden images grow at the expense of noise during the stochastic resonance process in a photorefractive medium. The properties of output images are mainly determined by the input signal-to-noise intensity ratio, the applied voltage across the medium, and the correlation length of noise background. A high cross-correlation gain is obtained by optimizing these parameters. This provides a potential method for detecting low-level or hidden pulse images in various imaging applications.

Highlights

We investigate a practical technology for reconstructing nanosecond pulse noisy images via stochastic resonance, which is based on the modulation instability
The properties of output images are mainly determined by the input signalto-noise intensity ratio, the applied voltage across the medium, and the correlation length of noise background
The potential well is unsteady due to the chaotic particles of partially coherent pulse. Depth of this potential well varies with its instantaneous intensity and the existence time of potential well is influenced by its pulse width

Summary

Introduction

We investigate a practical technology for reconstructing nanosecond pulse noisy images via stochastic resonance, which is based on the modulation instability. In remote light detection and transmission, the nanosecond pulse images are usual low-level and relatively low repetition frequency These characteristics effectively reduce the power required and the loss in long distance, and bring new influences to reconstruct the signal. We have established a theoretical model of stochastic resonance for optical nanosecond signal to recover the pulse noise-hidden image. The reconstruction of pulse images is achieved when the energy transfers to signal from noise background The instability of this effect is generated in coherent-incoherent coupling related to the properties of input pulse. According to this model, the impacts of parameters on stochastic resonance are analyzed in detail

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Conclusion