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Fourier ptychography for high-resolution imaging has been a revolutionizing technical, since it enables providing abundant information of target scene via varying illumination or pupil scanning. However, many objects are hidden by dynamic scattering media, such as biological tissues and mist, that scramble the light paths and yield the scattering wall, let alone high-resolution imaging. It is worth noting that the scatting effect caused by the scattering media will decrease the correlation of scattered-light-field, which makes the information aliasing difficult to extract. The situation becomes worse if the image scene is in color. Typically, the wave front shaping, optical transmission matrix and speckle correlation technique can successfully recover hidden target form the scattered-light-field. Notably, the physical model of conventional method is limited by the extraction difficultly of target information from the strong scattering environment, especially in broadband light illumination imaging. Thus, it is restrictive to achieve super-resolution color imaging through scattering media by utilizing the current techniques. In this manuscript, we present a computational polarized colorful Fourier ptychography imaging approach for super-resolution seeing through dynamic scattering media in broadband. In order to solve the challenge that current imaging methods are limited by the spectral width of the light illumination; the polarization characteristics of the scattered-light-field is explored. After retrieving a series of sub-polarized images, which brings the different frequency information caused by the motion of scattering media, processed by the common-mode rejection of polarization characteristic, our computational approach utilizes the iterative optimization algorithm to recover the scene. Notably, owning to the differences between the target and background scattering information of the scattered-light-field with different rotate angles of polarization, we can obtain two images where the object information contained in the scattering field and the background scattering information are dominant. Afterwards, a serious of images constitute of target and background information are adopted to the iterative Fourier Ptychography procedure to update the target image based on the sequence of acquired images until estimate converges. During the updating procedure, the scattering effect could be removed, and the spatial-resolution is improved. Compared with conventional scattering imaging model, the proposed method is capable of super-resolution color imaging and descattering in various conditions, with the color case problem solved as well. Furthermore, the proposed method is easy to incorporate in a conventional Fourier Ptychography imaging system to achieve high-fidelity images with better quality and valid detail information. Therefore, the proposed method has the potential to assist super-resolution imaging to more practical applications.
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Keywords:
- Scattering /
- Polarization imaging /
- Super-resolution imaging /
- Fourier ptychography /
- Computational imaging
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