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In the target detection process of polarization optics imaging, due to the turbulent effect of the target signal transmitted in the atmosphere and the photoelectric conversion of optical imaging sensors and other factors, Salt-and-Pepper noise which affects the detection accuracy. According to the statistical characteristics of the Salt-and-Pepper noise probability density, a new structure preserved polarization image Salt-and-Pepper noise removal method is proposed. With the new signal sparse representation theory and image inpainting method, only the noise regions is restored by the noise point detecting. In the inpainting process, the structural similarity is considered which can improve the structural information retention ability of polarization image. Numerical simulation results demonstrate the validity of the proposed method both subjectively and objectively.
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