Enhance Visual Target Detection Using Nonlinear Stochastic Resonance Technique

Techniques to detect and identify the interested target burying in cluttered background and noise have been widely needed in both military and civilian applications. The enhancement of the target detectability is a critical factor in improving the performance of detectors. The team of Applied SR Technologies, Inc. and the Polytechnic University at Brooklyn, New York is exploring new interdisciplinary methods to address this important issue. Our proposed research focuses on the development of mathematical sound approaches to enhance visual target detection using techniques from nonlinear stochastic resonance, optimization and advanced control theory. The proposed numerical algorithms will be aimed at enhancing signal-to-noise ratios for improved visual target detection. In addition, the algorithms will be implemented and tested on standard image files.