High-resolution ghost imaging through dynamic and complex scattering media with adaptive moving average correction

Abstract

Optical imaging through dynamic and complex scattering media has attracted various applications, e.g., ranging from scene imaging to cell imaging. Nevertheless, imaging through complex media is full of challenges attributed to the inhomogeneous scattering, leading to nonlinear effects. Although ghost imaging (GI) has proven effective in solving some scattering problems, dynamic and complex scattering still requires an efficient solution. In this Letter, we report a model based on adaptive moving average (AMA) to correct the influence of dynamic scattering media from a statistical perspective for high-resolution GI. The developed AMA correction method selects an appropriate time window based on the changing trend of measured single-pixel light intensities to accurately correct a series of dynamic scaling factors. Then, the corrected single-pixel light intensities are used for ghost reconstruction using a second-order correlation algorithm. A series of optical experiments are conducted to verify superiority of the proposed method. Moreover, the proposed method can be applied with other algorithms to enhance the quality of the reconstructed ghost images. By leveraging a statistical model based on the measured data, the proposed scheme offers an enhanced solution to solving dynamic and complex scattering problems in GI.