At present, most polarization imaging techniques cannot recover objects with different polarization characteristics in the same field of view. In this work, the shortcoming is overcome by estimating the global
varying Mueller matrix of the target. After that, the illumination light with globally varying polarization state is estimated to inhibit the noise caused by computational imaging. The descattering imaging experiments through turbid water indicate that the images recovered by our method present the similarity to the targets without scattering, and the noise is suppressed to some extent. In addition, the superiority of the proposed method is proved by comparing with other polarization underwater imaging strategies.
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