When underwater degraded images meet logical stochastic resonance
作者: Nan WangBing ZhengHaiyong ZhengBiao Yang
作者单位: 1Ocean University of China
2ChangZhou University
刊名: Nonlinear Dynamics, 2018, Vol.94 (1), pp.295-305
来源数据库: Springer Journal
DOI: 10.1007/s11071-018-4359-y
关键词: Logical stochastic resonanceWeak object detectionUnderwater image processing
英文摘要: Abstract(#br)Owing to light attenuation and high background noise, underwater images are significantly degraded, which hiders the development of underwater exploration. However, noise itself can be used to counter noise. In this paper, we apply logical stochastic resonance (LSR) to help detect weak objects from low-quality underwater images. On the basis of analysis of the physical character of underwater images, three models, namely basic dynamical system driven by Gaussian noise, basic dynamical system driven by Ornstein–Uhlenbeck (OU) noise, and dynamical system with extra delay loop, are chosen to study the performance of LSR-based object detection. The main workflow of LSR-based object detection is introduced. To analyze the performance of LSR, we perform explicit experiments and...
全文获取路径: Springer  (合作)
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影响因子:3.009 (2012)

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