Effect of temporal recursive filtering on visual range of LLL imaging

An adaptive temporal recursive filtering algorithm is developed to improve noise and visual range performance in low level light (LLL) imaging. The proposed algorithm improves the SNR and extends the visual range by adjusting the coefficient of temporal recursive filter. The extension of visual range using the adaptive temporal recursive filtering agrees with the theory, and the experimental results indicate this algorithm can maintain a clear motion image, and improve the noise and visual range performance of LLL imaging system.