A Review of Parameter-Induced Stochastic Resonance and Current Applications in Two-Dimensional Image Processing

摘要

Stochastic resonance (SR) is a phenomenon that nonlinear system synchronizes with noise to boost a resonant-like behavior. Parameter-induced stochastic resonance (PSR) proposed in this paper is realized by optimally tuning system parameters without adding any noise. It has been proved the performance of PSR is better than traditional SR technique which is in fact a particular case in PSR region. The applications of PSR to signal processing and target detection in shallow water reverberation have been reviewed. A new concept of two-dimensional parameter-induced stochastic resonance (2D-PSR) and its applications in the restoration of degraded image and pattern recognition of remote sensing image are developed.