Correspondence imaging through complex scattering media with temporal correction

Object reconstruction in optical imaging through complex scattering media is challenging. The existence of multiple and dynamic scatterings in complex environments leads to nonlinear reconstruction problem, inducing significant complexity in object reconstruction. In this paper, we report a correspondence imaging approach to reconstructing high-quality objects through complex scattering media where conventional methods cannot work. To complete formation mechanism of correspondence imaging through complex scattering media, a rectified theory is derived to implement object reconstruction. In the proposed method, temporal correction is introduced to eliminate the effect of dynamic scaling factors which physically exist in complex scattering environments. Then, a series of light intensities collected by a single-pixel bucket detector can be temporally corrected for the proposed correspondence imaging through complex scattering media. A series of optical experiments are conducted to show advantages of the proposed method over conventional methods in complex scattering environments. In addition, the proposed principle can be flexibly used with other methods to further enhance quality of the reconstructed objects. The proposed method provides a powerful tool to reconstruct high-quality objects through complex scattering media with single-pixel measurements, and the proposed method could provide an insight into correspondence imaging through complex scattering media.

Automated summary

This paper introduces a correspondence imaging approach for reconstructing high-quality objects through complex scattering media. By deriving a rectified theory and introducing temporal correction, the proposed method eliminates the effect of dynamic scaling factors. Experimental results demonstrate the advantages of the proposed method over conventional methods in complex scattering environments, and it can also be combined with other methods to further enhance the quality of reconstructed objects.